Results

PaperS7468

Limits on Kinematic Inference from the PURSUE Airborne Sensor Videos

Jacob Haqq-Misra, Ravi Kopparapu. arxiv.org. August 28, 2026.

Haqq-Misra and Kopparapu analyse limits on inferring motion from 112 released sensor-video records. Angular motion depends on range, viewing geometry and platform motion. A transverse-speed bound does not establish total speed or identify every object.

Preprint text, figures and tables read
PaperS7633

Radiative Signatures from Warp Drives Traveling Through the Earth's Atmosphere

Shaun David Brocus Fell, Abraham Loeb. arxiv.org. August 11, 2026.

Fell and Loeb model radiation from an assumed zero-ADM-mass warp-bubble geometry in an atmosphere. Their relativistic aircraft-scale examples predict strong emission. The geometry-generating source and backreaction are omitted; heating, continuum validity and propagation introduce further limits. These conditional predictions constrain an interpretation, without detecting or demonstrating a drive.

Complete supplied preprint parsed text; native figures, glyphs and reproduction gaps
PaperS7474

Noninvasive Mapping of Striosome-Matrix Imbalance in Early Psychosis

Akila Weerasekera, Jeff L. Waugh, Dost Öngür, Garry P. Nolan, Maria Mody, Fei Du. doi.org. July 6, 2026.

Nolan and colleagues analyze connectivity-based brain-region proxies in 170 psychosis and control participants. Figures help clarify reported associations while exposing caption errors; the study has no UAP-exposure group.

Paper text, figures and supplements read
PaperS7524

Single-cell spatial pharmacobiology identifies conserved stromal barriers to therapeutic antibody delivery in human solid tumors

Guolan Lu, John W Hickey, Maximilian Haist, Xulei Qin, Emily Zhao, Abdullah Naveed, Erna Forgo, Marc-A Baertsch, Lucas Mani, Xavier Rovira-Clavé, Andrey Finegersh, Yury Goltsev, Chiara Caraccio, Nynke S van den Berg, Marisa Hom, Deana R Colburg, Brock A Martin, Christina S Kong, Natalie S Lui, George A Fisher, A Dimitrios Colevas, Robert B West, Greg M Thurber, George A Poultsides, Garry P Nolan, Eben L Rosenthal. ebi.ac.uk. June 3, 2026.

An exploratory oncology study examines antibody distribution and tissue organization in small, nested patient cohorts. Several nominal associations weaken after statistical correction or patient sensitivity checks. Alternate measurement on the same tissues adds a different method, without independent patient replication or proven clinical benefit.

Supplied manuscript, figures and supplement read
PaperS7697

Reprogramming of stroma-derived chemokine networks drives the loss of tissue organization in nodal B cell lymphoma

Felix Czernilofsky, Anna Mathioudaki, Lea Jopp-Saile, Raphael Lutz, Dominik Vonficht, Xi Wang, Christina Schniederjohann, Harald Voehringer, Tobias Roider, Marc-Andrea Baertsch, Claus Rodemer, Henry Löffler-Wirth, Michael Grau, Donnacha Fitzgerald, Johannes Mammen, Jan Kosla, Nora Liebers, Peter-Martin Bruch, Diana Ordoñez-Rueda, Alexander Brobeil, Gunhild Mechtersheimer, Caroline Pabst, Carsten Müller-Tidow, Andreas Trumpp, Marc Seifert, Frank Neumann, Mathias Heikenwälder, Vladimir Benes, Wolfgang Huber, Jörg Distler, Georg Lenz, Hans Binder, Reiner Siebert, Garry P. Nolan, Moritz Gerstung, Judith B. Zaugg, Daniel Hübschmann, Simon Haas, Sascha Dietrich. pmc.ncbi.nlm.nih.gov. March 25, 2026.

This lymphoma study combines new tissue profiling, reused datasets, limited cell cultures and retrospective survival associations to propose a model of altered tissue organization. Its assays overlap an earlier Nolan-linked atlas, and cells or repeated measurements are not independent patients. Data-derived survival thresholds and unresolved denominator/method wording qualify clinical interpretation. Nolan provided access to existing imaging and immune datasets; this article does not assign him a funding award or report a classified UAP approach.

Complete specialist supplied XML text; native apparatus unreviewed
PaperS7508

Estimating time since influenza virus exposure using single-cell proteomic data

Klodiana Rizzo Nervo, Neda Hajiakhoond Bidoki, Han Chen, Zainab Rahil, Zach Bjornson, Kenneth Kim, Bonnie Bock, Melton Affrime, Logan Bauerle, Pham Bao Tran Huynh, David Liebowitz, Sean Tucker, Pier Federico Gherardini, Garry P. Nolan, Nima Aghaeepour, David R. McIlwain. frontiersin.org. March 19, 2026.

Rizzo Nervo, Nolan and colleagues model influenza shedding and time since exposure in two controlled challenge datasets. Preinfection baselines and selected healthy cohorts constrain generalization. Several count, legend, validation-method and error-metric descriptions disagree; this is not a UAP-exposure study.

Article, figures and narrative supplements read
PaperS7730

A Comprehensive Network for the Discovery and Characterization of Interstellar Objects

Oem Trivedi, Abraham Loeb. arxiv.org. January 29, 2026.

Trivedi and Loeb propose a network for discovering and characterizing interstellar objects. Their hypothetical examples and performance estimates are conditional; the paper demonstrates no deployed network, artificial object or government programme access.

Supplied preprint text and native layouts; proposal remains unvalidated
PaperS7568

SPACEc: a streamlined, interactive Python workflow for multiplexed image processing and analysis

Yuqi Tan, Tim N Kempchen, Martin Becker, Maximilian Haist, Dorien Feyaerts, Jiaqi Liu, Marieta Toma, Yang Xiao, Graham Su, Andrew J Rech, Michael Hölzel, Rong Fan, John W Hickey, Garry P Nolan. ebi.ac.uk. November 27, 2025.

SPACEc combines spatial proteomics processing, cell annotation and neighbourhood analysis. Nolan is credited with supervision. The supplied article, static supplement and reporting form were reviewed; peer-review correspondence is partly read. Reused tissues, expert labels and nested cell counts limit independent replication. Computational comparisons depend on dataset, platform, normalization and metric definitions; funding does not establish a UAP programme.

Complete supplied main and static supplement text read; peer review partial
PaperS7678

Annotation-free discovery of disease-relevant cells in single-cell datasets

Erin Craig, Timothy J Keyes, Jolanda Sarno, Jeremy P D’Silva, Pablo Domizi, Maxim Zaslavsky, Albert Tsai, David Glass, Garry P Nolan, Trevor Hastie, Robert Tibshirani, Kara L Davis. ebi.ac.uk. August 27, 2025.

This Nolan-coauthored computational study estimates disease-associated cells using patient disease labels and a healthy baseline, without requiring expert cell annotations. Reported leukemia examples support a research method, with stronger expert-label benchmarks, small patient cohorts and assumptions that limit interpretation. Millions of measured cells do not imply millions of independent patients. Disclosed NIH support does not establish a classified programme or UAP access.

Complete supplied XML text; graphics, algorithms and supplements unreviewed
PaperS7758

Comment on "Discovery and Preliminary Characterization of a Third Interstellar Object: 3I/ATLAS" [arXiv:2507.02757]

Abraham Loeb. arxiv.org. July 9, 2025.

Loeb models a population mass budget for 3I/ATLAS and offers ordinary cometary-core or rarer-population alternatives. Technological design is conditional speculation; albedo, size, selection and reservoir assumptions remain explicit, with no artificial-origin detection or independent model validation.

Complete supplied three-page v2 manuscript; model and date gaps retained
PaperS7482

The extra-islet pancreas supports autoimmunity in human type 1 diabetes

Graham L Barlow, Christian M Schürch, Salil S Bhate, Darci J Phillips, Arabella Young, Shen Dong, Hunter A Martinez, Gernot Kaber, Nadine Nagy, Sasvath Ramachandran, Janet Meng, Eva Korpos, Jeffrey A Bluestone, Garry P Nolan, Paul L Bollyky. ebi.ac.uk. April 15, 2025.

Barlow, Nolan and colleagues examine spatial immune patterns in a small diabetes donor study. The paper and its public reviews retain limits on selection, marker interpretation and causal inference; this is background biomedical research with no UAP-exposure cohort.

Paper text, figures and reviews read

A curated public selection. Source review describes what was read; it does not establish that a claim is true. Our research approach