Evidence map›Paper›PMID 42662659›Full record

ArticleACS omega2026

Cauchyformer: Few-Shot Spectrum Inference for Photonic Metasurfaces via Mixture of Cauchy.

Shujie Yang, Xuzhe Zhao, Chunjiang Li, Yuxiao Li, Hongyan Fu, Yansong Tang, Kaichen Dong

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shujie YangInstitute of Data and Information, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Xuzhe ZhaoInstitute of Data and Information, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Chunjiang LiInstitute of Data and Information, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Yuxiao LiDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, United States.ORCID https://orcid.org/0009-0002-9813-5925
Hongyan FuInstitute of Data and Information, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Yansong TangInstitute of Data and Information, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Kaichen DongInstitute of Data and Information, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.ORCID https://orcid.org/0000-0001-5334-4243

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inferring hard-to-access spectra from simpler measurements is a fundamental challenge across photonics, materials science, chemistry, and biology. Intrinsic cross-frequency correlations encode rich information about structure, composition, and dynamics; utilizing these relations enables rapid characterization, screening, and design without expensive iterative simulations or experiments. A representative and highly demanding setting is metasurface photonics, where structural optimization relies on large-scale partial differential equation (PDE) solvers, rendering ultrabroadband full-wave electromagnetic simulations prohibitively expensive. Existing time-series and signal forecasting approaches typically require large training data sets, yet spectral data is often scarce and costly to acquire. Moreover, these data-driven models lack explicit awareness of the underlying spectral physics. In this work, we introduce

Identifiers

PMID42662659
PMCPMC13520054

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.