mlsanityData to 14 Oct 2026

CRC-Screen: Certified DNA-Synthesis Hazard Screening Under Taxonomic Shift

arXiv 2605.00074 ↗First posted 30 Apr 2026q-bio.GN cs.AIcited by 0

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Abstract (arXiv)

DNA-synthesis providers screen incoming orders by searching the requested sequence against curated hazard lists. We show that this baseline collapses to a 100% false-flag rate when the hazardous sequence comes from a taxonomic family absent from the reference set: under Conformal Risk Control's certified miss-rate constraint, a low-discrimination signal forces the threshold below the entire test-benign mass. We compose three signals derived from a synthesis order's public annotation: k-mer Jaccard similarity to known toxins, the trimmed-mean score of a five-LLM judge panel, and cosine similarity to clustered embedding centroids. Fused under a monotone logistic aggregator and calibrated by Conformal Risk Control, the resulting screener certifies mathbbE[FNR] ≤ α + TV, where the additive term is the calibration-to-test distribution shift under family holdout (a certified ceiling of 24-49% across folds). Across ten leave-one-taxonomic-family-out folds at α=0.05 on UniProt KW-0800 reviewed toxins, the calibrated screener achieves 0% empirical test miss rate on every fold and 0% test false-flag rate on nine of ten folds. The bound's finite-sample slack 1/(ncal+1) caps the certifiable miss rate at 1.77% on our 200-hazard subsample; reaching procurement-grade α=10-3 requires an 18× larger calibration set, which the full reviewed UniProt KW-0800 corpus is large enough to deliver. The binding constraint on certifiable DNA-synthesis screening is calibration data, not algorithms. Code: https://github.com/najmulhasan-code/crc-screen

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 45 references that are in the map. First posted on arXiv 30 Apr 2026.

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References · 13

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  2. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,626
  3. 2017On Calibration of Modern Neural Networkscited by 4,960
  4. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,824
  5. 2023G-Eval: NLG Evaluation using GPT-4 with Better Human Alignmentcited by 2,276
  6. 2017Selective Classification for Deep Neural Networkscited by 852
  7. 2023AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedbackcited by 748
  8. 2016Distribution-Free Predictive Inference For Regressioncited by 668
  9. 2019Conformalized Quantile Regressioncited by 629
  10. 2022Conformal prediction beyond exchangeabilitycited by 355
  11. 2022Conformal Risk Controlcited by 299
  12. 2021Distribution-Free, Risk-Controlling Prediction Setscited by 288
1 more
  1. 2016Least Ambiguous Set-Valued Classifiers with Bounded Error Levelscited by 272

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