{"total":15,"items":[{"citing_arxiv_id":"2607.01329","ref_index":13,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Ravines in quantum cost landscapes: opportunities for improved VQA predictions","primary_cat":"quant-ph","submitted_at":"2026-07-01T18:00:04+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"NEB-adapted ravine ensembles for QNNs classifying concentratable entanglement outperform naive methods when local-prediction variability is high and reduce costs, with ravines persisting under depth and qubit scaling.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.21346","ref_index":211,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Simultaneously Efficient Allocation of Indivisible Items Across Multiple Dimensions","primary_cat":"cs.GT","submitted_at":"2026-06-19T11:42:27+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"The MDEA model admits tight 1/ℓ-approximations for simultaneous USW and ESW efficiency across ℓ dimensions with NP-hardness for exact simultaneous optimization even with binary valuations, plus characterizations of three multidimensional Pareto notions.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.18552","ref_index":13,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Towards Entanglement-Enhanced Atom Interferometry Using Bow-Tie Cavities","primary_cat":"quant-ph","submitted_at":"2026-06-17T00:01:45+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"A monolithic bow-tie cavity with finesse 5.7e4 is realized for homogeneous coupling to Sr atoms at 689 nm, projected to enable up to 28 dB spin squeezing for quantum-enhanced interferometry.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.15053","ref_index":77,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Physics-conforming Latent Twins","primary_cat":"cs.LG","submitted_at":"2026-06-13T01:50:56+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Physics-conforming Latent Twins learns encoder-decoder pairs and latent flow maps that satisfy physical principles by design via constraint transfer and algebraic conditions on invariants and dissipation.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.03919","ref_index":135,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Forecasting Conceptual Diffusion in Science: The Case of Quantum Computing","primary_cat":"cs.SI","submitted_at":"2026-06-02T17:12:02+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"LightGBM models on citation and diversity features predict exogenous diffusion of quantum computing concepts with R² up to 0.78 while endogenous reinforcement remains largely unpredictable after growth controls, with replications in other fields.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.03864","ref_index":134,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Explainable Forecasting of Scientific Breakthroughs from Concept Network Dynamics","primary_cat":"cs.SI","submitted_at":"2026-06-02T16:38:41+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A two-stage LightGBM model on 59 features from concept networks forecasts link formation and intensity with ROC-AUC 0.95-0.967 across domains.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.17270","ref_index":67,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Beyond Detection: A Structure-Aware Framework for Scene Text Tracking","primary_cat":"cs.CV","submitted_at":"2026-05-17T05:40:55+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"SymTrack is the first systematic detection-free framework for scene text tracking that constructs benchmarks from video text spotting datasets and reports up to 11.97% AUC gains over prior trackers.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.10303","ref_index":28,"ref_count":2,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Measuring Tail Dependence in Linear Processes: Theory and Empirics","primary_cat":"math.ST","submitted_at":"2026-05-11T10:02:23+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"A new tail dependence measure for linear processes with regularly varying distributions is introduced, incorporating persistence effects and validated via simulations and cryptocurrency data analysis.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.07491","ref_index":63,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Implicit Multi-Camera System Calibration Using Gaussian Processes","primary_cat":"cs.CV","submitted_at":"2026-05-08T09:29:58+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Gaussian process regression enables implicit multi-camera calibration by learning 2D-to-3D mappings with built-in uncertainty and active learning for efficient data use.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.04274","ref_index":21,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"A Mean Curvature Approach to Boundary Detection: Geometric Insights for Unsupervised Learning","primary_cat":"cs.LG","submitted_at":"2026-05-05T20:19:09+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"MCBP detects boundaries by computing discrete mean curvature from k-nearest neighbor patches on the data manifold, then decomposes data into low-curvature smooth and high-curvature boundary subsets to improve clustering.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.02818","ref_index":45,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Outstanding Questions in Giant Planet Theory","primary_cat":"astro-ph.EP","submitted_at":"2026-05-04T16:54:36+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":2.0,"formal_verification":"none","one_line_summary":"The paper identifies key unresolved questions in giant planet formation, interiors, and their role in planetary systems.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.02481","ref_index":27,"ref_count":2,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Cascade Pipeline for Leading-Order Matrix Element Evaluation on AMD Versal AI Engine Arrays","primary_cat":"hep-ex","submitted_at":"2026-05-04T11:29:41+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"A cascade pipeline on 400 AIE tiles evaluates gg→ttg leading-order matrix elements at 1 million per second with parts-per-million accuracy to MadGraph, delivering 34× CPU speedup and 7.7× better energy efficiency at 54.8 W.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.01042","ref_index":15,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"ProMoTA: a model-driven framework for end-to-end traceability analysis","primary_cat":"cs.SE","submitted_at":"2026-05-01T19:13:41+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"ProMoTA integrates process modeling with automated end-to-end traceability generation and analysis for model transformation chains in MDE, demonstrated on a wireless sensor network IoT application.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.20354","ref_index":13,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Hallucination Early Detection in Diffusion Models","primary_cat":"cs.CV","submitted_at":"2026-04-22T08:57:19+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"HEaD+ detects object hallucinations early in diffusion generation via cross-attention maps, text, and a Predicted Final Image, raising complete image rates by 6-8% for four-object prompts and reducing time by up to 32%.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2603.11895","ref_index":11,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Cosmological gravity on all scales V: MCMC forecasts combining large scale structure and CMB lensing for binned phenomenological modified gravity","primary_cat":"astro-ph.CO","submitted_at":"2026-03-12T13:08:46+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Emulation of binned modified gravity power spectra to <1% accuracy enables MCMC forecasts that constrain μ and η via LSST large-scale structure combined with CMB lensing, with best sensitivity along the lensing combination Σ.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}