{"total":16,"items":[{"citing_arxiv_id":"2605.22702","ref_index":68,"ref_count":2,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Follow the wobble: Statistical methods to detect astrometric binary asteroids in Gaia FPR","primary_cat":"astro-ph.EP","submitted_at":"2026-05-21T16:44:52+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Refined statistical pipeline on Gaia FPR residuals detects 343 binary asteroid candidates, with 88% fewer false positives in noise simulations and overlaps with 9 known binaries.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.20726","ref_index":42,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference","primary_cat":"stat.ME","submitted_at":"2026-05-20T05:24:39+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Derives simultaneous high-probability upper bounds on realized FDP for conformal p-values that hold for arbitrary post-hoc thresholds via an envelope on the null empirical distribution function.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.20143","ref_index":45,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Semi-Parametric Bayesian Additive Regression Trees for Risk Prediction with High-Dimensional Epigenetic Signatures and Low-Dimensional Covariates","primary_cat":"stat.AP","submitted_at":"2026-05-19T17:31:20+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"spBART extends BART by modeling low-dimensional covariates parametrically for interpretability and high-dimensional epigenetic predictors nonparametrically, with a CV-based variable selection procedure, achieving AUC 0.96 on multiple myeloma epigenetic data.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.18448","ref_index":18,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Fixed-order PCA: Theory for Overestimated Factor Models","primary_cat":"math.ST","submitted_at":"2026-05-18T14:17:49+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Establishes asymptotic consistency of factor estimates and √T-normality in factor-augmented regressions for fixed R ≥ r using anisotropic local laws from random matrix theory.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.15769","ref_index":27,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics","primary_cat":"cs.RO","submitted_at":"2026-05-15T09:26:40+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Lamarckian inheritance improves evolutionary robotics performance in dynamic environments unless changes are conflicting and unpredictable; a change-detecting sensor restores benefits.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.09953","ref_index":2,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle","primary_cat":"stat.ME","submitted_at":"2026-05-11T04:01:19+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Domino guarantees k-bFDR control under arbitrary dependence via the closure principle, extending boundary FDR methods to general settings for both p-values and e-values.","context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"00 99.7 39.3 a latent Bernoulli distribution θj ∼ Bern(π1), where π1 is the sparsity hyperparameter. For null hypotheses, the true mean is set to be µj = 0; for alternatives, the signal strength µj is i.i.d from a normal distribution N (µc, σ2) truncated to (0, +∞). The covariance matrix Σ is configured with Σjj = σ2 and Σij = σ2ρ for i ̸= j, where ρ ∈ [− 1 m−1 , 1) is the correlation coefficient. The p-values are calculated based on a one-sided Z-test pj = Φ(−Xj/σ), while the e- values are set as the likelihood ratioej = exp{ µcXj −0.5µ2 c σ2 }. Unless otherwise specified, we set m = 100, σ = 1, the hyperparameter π1 = 0.2 and the nominal level α = 0.05. We first evaluate the performance of Domino across dif- ferent local tests for k-bFDR control with k ∈ { 1, 2, 3} in Table 1 under independence (ρ = 0) and weak positive correlation (ρ = 0.25). As illustrated, all Domino variants successfully control the corresponding k-bFDR while main- taining a high TDR. Under the bFDR constraint, using the Simes-based local test ϕ1,Simes yields the superior power by exploiting the independence structure of the p-values. The Domino using local test ϕ1,Harmo is inherently less sensitive to i.i.d settings; however, it offers the distinct advantage of maintaining validity across arbitrary dependence struc- ture, as demonstrated in Table 5. Domino-E methods yield a bit more conservative, thus safer, rejection set than the p-value-based counterparts. In terms of relaxed boundary error metric (k ∈ { 2, 3}), both Domino-P and Domino-E yield rejection sets with higher power, illustrating the trade- off between precise, high-quality discoveries and detection ability. We further compare Domino against SL (Soloff et al., 2024) from negative correlation to strong positive correlation. As illustrated in Figure 2, the SL method suffers from a bFDR inflation under weak positive correlation (ρ = 0.25). Domino, in contrast, not only ensures robust bFDR control under all tested dependenc"},{"citing_arxiv_id":"2605.06479","ref_index":185,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Risk-Controlled Post-Processing of Decision Policies","primary_cat":"stat.ML","submitted_at":"2026-05-07T16:03:24+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Risk-controlled post-processing yields a threshold-structured policy that follows the baseline except where an oracle fallback sharply reduces conditional violation risk, achieving O(log n/n) expected excess risk in i.i.d. settings and exact risk control under exchangeability.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.03141","ref_index":64,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"In-Sample Evaluation of Subgroups Identified by Generic Machine Learning","primary_cat":"stat.ME","submitted_at":"2026-05-04T20:30:25+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"A conditional adaptive perturbation approach enables valid in-sample inference for machine learning-identified subgroups with nonregular boundaries via triple robustness.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.02146","ref_index":45,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Fast Semiparametric Density Regression with Weight-localized Predictive Recursion","primary_cat":"stat.ME","submitted_at":"2026-05-04T02:01:38+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"PRx combines kernel weight localization with predictive recursion for fast semiparametric density regression, yielding consistent estimators for unmixed parameters and competitive performance at low computational cost.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.01923","ref_index":54,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Estimation and Inference for the $\\tau$-Quantile of Individual Heterogeneous Coefficient","primary_cat":"econ.EM","submitted_at":"2026-05-03T15:07:21+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Develops asymptotic theory and bootstrap inference for the τ-quantile of cross-sectional individual coefficient distributions in panel data under stochastic and deterministic designs.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.00765","ref_index":4,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Efficient Longitudinal Function-on-Function Regression","primary_cat":"stat.ME","submitted_at":"2026-05-01T16:25:35+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"A computationally efficient three-step marginal method for longitudinal function-on-function regression that fits pointwise scalar-on-function models, smooths along the bivariate domain, and derives confidence bands to enable valid inference on large functional datasets.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.00709","ref_index":54,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Bootstrap Inference under General Two-way Clustering with Serially and Spatially Dependent Common Effects","primary_cat":"math.ST","submitted_at":"2026-05-01T14:54:48+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"A regime-adaptive projection wild bootstrap achieves uniform validity for two-way clustered regression inference across four feasible asymptotic regimes while permitting serial and spatial dependence.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.00238","ref_index":14,"ref_count":2,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Estimating LLM Grading Ability and Response Difficulty in Automatic Short Answer Grading via Item Response Theory","primary_cat":"cs.CL","submitted_at":"2026-04-30T21:16:59+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Item response theory applied to 17 LLMs on SciEntsBank and Beetle reveals that models with similar overall scores differ sharply in robustness to difficult responses, with errors clustering on partial-credit labels.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.20016","ref_index":58,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Weighted Holm Procedures: Theory, Properties, and Recommendations","primary_cat":"stat.ME","submitted_at":"2026-04-21T21:50:57+00:00","verdict":"CONDITIONAL","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"The weighted Holm procedure (WHP) based on ordered weighted p-values is uniformly more powerful than the weighted alternative Holm procedure (WAP) based on ordered raw p-values, with stronger optimality properties under FWER control.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.19517","ref_index":2,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"PRADAS: PRior-Assisted DAta Splitting for False Discovery Rate Control","primary_cat":"stat.ME","submitted_at":"2026-04-21T14:40:06+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"PRADAS derives a Bayes-optimal mirror statistic for any splitting scheme, establishes asymptotic FDR control under weak dependence, and optimizes the split ratio as a stopping time to improve power over standard equal-split methods.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.19260","ref_index":161,"ref_count":1,"confidence":0.55,"is_internal_anchor":false,"paper_title":"Understanding the Mechanism of Altruism in Large Language Models","primary_cat":"econ.GN","submitted_at":"2026-04-21T09:21:14+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A small set of sparse autoencoder features in LLMs drives shifts between generous and selfish allocations in dictator games, with causal patching and steering confirming their role and generalization to other social games.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}