Yang, Zhengshuai, Jiang, Linna, Li, Changyun, Zhao, Guihu · Nov 4, 2026
Risk Control Certifies Rates, Not Magnitudes: An Audit of Selective Fetal Biometry
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In their paper, Zhengshuai Yang, Linna Jiang, Changyun Li and Guihu Zhao argue that risk control can limit how often a selective prediction system makes gross errors without limiting how large an individual error may be. They audit a prenatal ultrasound pipeline that estimates head circumference (HC) and can refuse to answer, using two separately pre-registered splits of 999 labelled HC18 images. On both splits, the pipeline produced a large error despite a high contour-completeness score; the authors say one outlier among approximately 150 answers left the certified risk bound intact. Their central point is that the score and certificate address error frequency, not whether a particular accepted measurement is anatomically plausible. The authors report that raising the lower bound of the admissibility region from 50 to 55 mm cut worst-case error on both splits, at a cost of 0.4 coverage points; suppressing the error through the completeness threshold cost substantially more coverage. At an anatomically defined 70 mm, frozen tests gave 1.91 and 1.81 mm MAE. The results describe this audit, not evidence that the pipeline is reliable in clinical use.
Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.
Original source
cs.AI · Article
Source details
Original source date: Nov 4, 2026 (2026-11-04).
Date basis: Date basis not provided.
Added to Escape Meridian: 2026-11-09T07:38:16.020Z. First observed: 2026-11-05T05:00:32.563Z. Retrieved: 2026-11-09T07:33:54.151Z.
Referenced by
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Limits
The supplied evidence is the abstract, not the full paper; it does not provide further methodological detail beyond the abstract’s account of the audit. The reported results concern two splits of 999 labelled HC18 images and do not establish performance in clinical use.
Open question
Would the same error mechanism and trade-off appear on data beyond the two HC18 splits tested in this audit?
Source-stated
The authors argue that finite-sample guarantees in selective prediction bound the rate of gross errors, not their magnitude.
its finite-sample guarantees bound the rate of gross errors, not their magnitude.
Source-stated
Across two separately pre-registered splits of 999 labelled HC18 images, the audited pipeline produced a large error despite a high contour-completeness score.
The accepted candidate scores 0.94 completeness, so the score cannot see the failure
Source-stated
The authors report that raising the admissibility region’s lower bound from 50 to 55 mm cost 0.4 coverage points and reduced worst-case error on both splits to 11.4 and 11.1 mm.
raising the lower bound from 50 to 55 mm costs 0.4 coverage points and cuts the worst-case error on both splits to 11.4 and 11.1 mm
Source-stated
At an anatomically defined 70 mm, the frozen tests gave 1.91 and 1.81 mm MAE.
At an anatomically defined 70 mm the frozen tests give 1.91 and 1.81 mm MAE.
Source and contributor context
Yang, Zhengshuai, Jiang, Linna, Li, Changyun, Zhao, Guihu · Article author
These are credits stated by the source; they do not establish a profile match or authorship of every passage.
Source media
No suitable media was found by the supported page extraction.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
arXiv
arXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed.
Editorial provenance
Version 1. Publication ID: 811cf3e6-5322-40a7-81ba-88685cc947c0.
Prepared by gpt-6-luna; grounding review by gpt-6-luna.
Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-09T07:38:16.020Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: useful_perspective.
Observation: 27b0df5029b93501b803ae72321aefb2a04fa49ad5330b505041e022ca332311. Source text hash: 4187a6e848db5fab849d23883cd8a0b478d044ccad9ab8bf3b2457eb77e195e7.
Revision and source-check history
Version 1 · 2026-11-09T07:38:16.020Z
Risk Control Certifies Rates, Not Magnitudes: An Audit of Selective Fetal Biometry
In their paper, Zhengshuai Yang, Linna Jiang, Changyun Li and Guihu Zhao argue that risk control can limit how often a selective prediction system makes gross errors without limiting how large an individual error may be. They audit a prenatal ultrasound pipeline that estimates head circumference (HC) and can refuse to answer, using two separately pre-registered splits of 999 labelled HC18 images. On both splits, the pipeline produced a large error despite a high contour-completeness score; the authors say one outlier among approximately 150 answers left the certified risk bound intact. Their central point is that the score and certificate address error frequency, not whether a particular accepted measurement is anatomically plausible. The authors report that raising the lower bound of the admissibility region from 50 to 55 mm cut worst-case error on both splits, at a cost of 0.4 coverage points; suppressing the error through the completeness threshold cost substantially more coverage. At an anatomically defined 70 mm, frozen tests gave 1.91 and 1.81 mm MAE. The results describe this audit, not evidence that the pipeline is reliable in clinical use.
Original source
cs.AI · Article
Source details
Original source date: Nov 4, 2026 (2026-11-04).
Date basis: Date basis not provided.
Added to Escape Meridian: 2026-11-09T07:38:16.020Z. First observed: 2026-11-05T05:00:32.563Z. Retrieved: 2026-11-09T07:33:54.151Z.
Limits
The supplied evidence is the abstract, not the full paper; it does not provide further methodological detail beyond the abstract’s account of the audit. The reported results concern two splits of 999 labelled HC18 images and do not establish performance in clinical use.
Open question
Would the same error mechanism and trade-off appear on data beyond the two HC18 splits tested in this audit?
Source-stated
The authors argue that finite-sample guarantees in selective prediction bound the rate of gross errors, not their magnitude.
its finite-sample guarantees bound the rate of gross errors, not their magnitude.
Source-stated
Across two separately pre-registered splits of 999 labelled HC18 images, the audited pipeline produced a large error despite a high contour-completeness score.
The accepted candidate scores 0.94 completeness, so the score cannot see the failure
Source-stated
The authors report that raising the admissibility region’s lower bound from 50 to 55 mm cost 0.4 coverage points and reduced worst-case error on both splits to 11.4 and 11.1 mm.
raising the lower bound from 50 to 55 mm costs 0.4 coverage points and cuts the worst-case error on both splits to 11.4 and 11.1 mm
Source-stated
At an anatomically defined 70 mm, the frozen tests gave 1.91 and 1.81 mm MAE.
At an anatomically defined 70 mm the frozen tests give 1.91 and 1.81 mm MAE.
Source and contributor context
Yang, Zhengshuai, Jiang, Linna, Li, Changyun, Zhao, Guihu · Article author
These are credits stated by the source; they do not establish a profile match or authorship of every passage.
Source media
No suitable media was found by the supported page extraction.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
arXiv
arXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed.
Editorial provenance
Version 1. Publication ID: 811cf3e6-5322-40a7-81ba-88685cc947c0.
Prepared by gpt-6-luna; grounding review by gpt-6-luna.
Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-09T07:38:16.020Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: useful_perspective.
Observation: 27b0df5029b93501b803ae72321aefb2a04fa49ad5330b505041e022ca332311. Source text hash: 4187a6e848db5fab849d23883cd8a0b478d044ccad9ab8bf3b2457eb77e195e7.
uncertain · 2026-11-09T07:38:16.020Z · anthropic/claude-opus-5.5
Publication: 811cf3e6-5322-40a7-81ba-88685cc947c0
attribution — pass: The reading correctly attributes the paper and its argument to Zhengshuai Yang, Linna Jiang, Changyun Li and Guihu Zhao, matching the arXiv author list. Results are framed as the authors' reports, not established fact.
Authors:Zhengshuai Yang, Linna Jiang, Changyun Li, Guihu Zhao
summary — uncertain: The summary keeps the paper's thesis but omits the failure's nature: a small, complete ring was fitted where the true HC was 324.6 mm, so the output was implausibly small. Without this, readers cannot see why raising the lower bound from 50 to 55 mm fixes it. Central terms are also unexplained: risk control, coverage, admissibility region (the source calls it the anatomical range where the measurement is defined) and MAE. Smallest repair: one clause on the too-small ring, plus plain glosses or tooltips for coverage (share of images answered), admissibility region and MAE.
a small, geometrically complete ring fitted to an image whose true HC is 324.6 mm
date — pass: originalPublished 2026-11-04 matches the arXiv v1 submission date. The later feed date is correctly not used.
[Submitted on 4 Nov 2026]
support — pass: The claims match the abstract: the rate-not-magnitude bound, the 0.94 completeness score on the failing case, replication on the second split, the 0.4-point coverage cost, worst-case errors of 11.4 and 11.1 mm, and 1.91 and 1.81 mm MAE. The clinical-use caveat and generalization question are appropriately limited.
A second, untouched split reproduces the mechanism on a different image (233.3 mm).
media — pass: The selected media is the verified arXiv abstract page for this paper. It is the direct original source.
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