ProReGen: Progressive Residual Generation under Attribute Correlations.

Ruby Shrestha, Ajay Gopi, Casey Meisenzahl, Bipin Lekhak, Linwei Wang

Abstract read

In one paragraph

Article in ... International Conference on Learning Representations, 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

5 authors.

Ruby ShresthaRochester Institute of Technology, Rochester, NY, USA.

Ajay GopiRochester Institute of Technology, Rochester, NY, USA.

Casey MeisenzahlRochester Institute of Technology, Rochester, NY, USA.

Bipin LekhakRochester Institute of Technology, Rochester, NY, USA.

Linwei WangRochester Institute of Technology, Rochester, NY, USA.

Funding

Peri-procedural transmural electrophysiological imaging of scar-related ventricular tachycardiaR01HL145590 · NHLBI · ROCHESTER INSTITUTE OF TECHNOLOGY · PI Saman Nazarian, Roderick Tung · 2019 to 2026

$4.5M

NHLBI NIH HHS R01 HL145590

6 · The paper itself

Abstract

Attribute correlations in the training data will compromise the ability of a deep generative model (DGM) to synthesize images with under-represented attribute combinations (

Identifiers

PMID42559154

PMCPMC13440320

What OpenQuestion holds

Textmetadata

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Registered trials

None linked

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.