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How much of Thermo Fisher's antibody data has been manipulated?
[ TL;DR: As of 3 June 2026, we have identified more than 450 images bearing signs of manipulation in verification data advertised by Thermo Fisher Scientific in its online primary antibodies catalog (+1 by Abcam). See the full repository of problematic images, curated by myself and Sholto David, here: Zenodo – Problematic images in vendor antibody verification data You are welcome to contribute new findings at this Google form.
DisasterLex: An Expert Concept-to-Schema Knowledge Graph for Geospatial Reasoning in Disaster Analytics
arXiv:2605.30538v1 Announce Type: new Abstract: Disasters are inevitable and increasingly costly, and effective response depends on querying structured tabular data: precise, information-dense records of hazard, exposure, vulnerability, and lifeline infrastructure that underpin disaster management. Current text-to-SQL methods enable natural-language access to such tables but transfer poorly to the disaster domain, where queries span heterogeneous geospatial schemas and require reasoning over...
ASE-26: a curriculum for agentic software engineering as a discipline
arXiv:2606.01152v1 Announce Type: new Abstract: The work of a professional software engineer has begun to consist, increasingly, of directing agents rather than writing code, and the empirical evidence for the shift is now several years deep. Anthropic's Economic Index puts automation at 79 per cent of Claude Code interactions [2]; Handa and colleagues at Anthropic find AI exposure for Computer Programmer tasks at approximately 75 per cent of the role's distinct activities [3]; Brynjolfsson...
The Ghost Couple: Correlated LLM Name Priors and Their Haunting of the Web and Academic Publishing
Announce Type: new Abstract: These names do not exist. Elena Vasquez and Marcus Chen have appeared as volcano experts, astronauts, thriller protagonists, podcast hosts, and academic co-authors across hundreds of independently produced AI-generated documents, never having lived. We show that large language models do not merely default to high-probability individual names when generating fictional experts: they produce correlated character ensembles, pairs and trios whose co-occurrence rates...
Do AI Structure Predictors Capture Bound-State Disorder? A Benchmark on Fuzzy Protein Complexes
Fuzzy protein complexes, in which an intrinsically disordered protein (IDP) retains conformational disorder upon binding, pose a fundamental challenge for structure predictors trained on ordered systems, where crystal structures capture only the most ordered ensemble snapshot, making standard benchmarking metrics misleading. Here, we present the first systematic evaluation of AlphaFold3 (AF3), AlphaFold2-Multimer (AF2MM), Chai-1, and Boltz-2 on a curated dataset of fuzzy complexes from...
A cross-domain tropical species dataset with Chinese vernacular names and CITES source links
Announce Type: new Abstract: We describe a versioned cross-domain dataset of 410,499 active tropical species (working snapshot 2026-04-20) spanning three applied subdomains -- tropical_plants, tropical_aquatic, and tropical_pets -- that share a commercial and regulatory life cycle but are distributed across kingdom-organised biodiversity infrastructures. The resource joins taxonomic identifiers from GBIF, Plants of the World Online, iNaturalist, NCBI Taxonomy, the Catalogue of Life and the...
Cohort-HMM marker recruitment with per-OG orthology QC for phylogenomic supermatrices
OrthoFinder's all-vs-all DIAMOND step systematically misses single-copy orthogroups (SC OGs) at deep taxonomic divergence: a marker recovered cleanly within a tightly defined cohort is dropped when the same marker is searched against phylum-broad metagenome-assembled genome (MAG) sets, because pairwise sequence similarity falls below DIAMOND's detection threshold even when the underlying ortholog is present. The result is biased dropout - supermatrices that retain genomes near the cohort but...
Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
Announce Type: replace Abstract: Building Information Modeling (BIM) projects increasingly use Information Delivery Specification (IDS) to formalize information requirements in a machine-checkable XML format. Because IDS conditions are grounded in the Industry Foundation Classes (IFC) vocabulary, authoring them requires expertise in IFC concepts, validation tools, and property set conventions. Existing benchmarks for structured generation do not adequately capture the additional burden of...
CERTIFY-ED: A Multi-Layer Verification Framework for Exact Diagonalization of Quantum Many-Body Systems
arXiv:2605.11787v2 Announce Type: replace-cross Abstract: Exact diagonalization (ED) is a workhorse technique in computational quantum many-body physics, but published ED results are rarely accompanied by machine-checkable evidence of their numerical correctness. The community typically relies on the implicit trust chain LAPACK $\to$ user code $\to$ result, with at most informal agreement against another package treated as confirmation. We argue that this practice is inadequate for a method...
huff: A Python package for Market Area Analysis
arXiv:2602.17640v4 Announce Type: replace-cross Abstract: Market area models, such as the Huff model and its extensions, are widely used to estimate regional market shares and customer flows of retail and service locations. Another, now very common, area of application is the analysis of catchment areas, supply structures and the accessibility of healthcare locations. The huff Python package provides a complete workflow for market area analysis, including data import, construction of...