Paper Citation Record · LEDGER

Merging synthetic and real embryo data for advanced AI predictions

As of 20 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2412.01255.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.01255 v2

Coverage vector

measured 55 of 55 reference resolution

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One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: pith, observed 2026-08-07T00:31:47.326844Z

Reference resolution

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation ec3e800a-b298-40b0-951e-689bd1c40fd9 · outbound

This paper cites Infertility.

Merging synthetic and real embryo data for advanced AI predictions Infertility

Reference 1

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This paper cites ART in Europe, 2019: results generated from European registries by ESHRE†.

Merging synthetic and real embryo data for advanced AI predictions ART in Europe, 2019: results generated from European registries by ESHRE†

Reference 2

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This paper cites J., Breth Knudsen, U.

Merging synthetic and real embryo data for advanced AI predictions J., Breth Knudsen, U

Reference 3

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Merging synthetic and real embryo data for advanced AI predictions & Andershed, A

Reference 4

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Merging synthetic and real embryo data for advanced AI predictions Unresolved cited work

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Reference 6

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Merging synthetic and real embryo data for advanced AI predictions & Janssens, R

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Reference 8

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Reference 11

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Reference 12

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Merging synthetic and real embryo data for advanced AI predictions & Berntsen, J

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This paper cites Artificial Intelligence in the IVF Laboratory: A Review of Advancements Over the Last Decade.Fertility Steril.

Merging synthetic and real embryo data for advanced AI predictions Artificial Intelligence in the IVF Laboratory: A Review of Advancements Over the Last Decade.Fertility Steril

Reference 14

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Merging synthetic and real embryo data for advanced AI predictions Unresolved cited work

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Reference 16

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Reference 17

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This paper cites Atlas of human embryology: from oocytes to preimplantation embryos.

Merging synthetic and real embryo data for advanced AI predictions Atlas of human embryology: from oocytes to preimplantation embryos

Reference 19

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Merging synthetic and real embryo data for advanced AI predictions & Ziebe, S

Reference 21

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This paper cites Exploring the Role of Explainability in AI-Assisted Embryo Selection.

Merging synthetic and real embryo data for advanced AI predictions Exploring the Role of Explainability in AI-Assisted Embryo Selection

Reference 22

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Merging synthetic and real embryo data for advanced AI predictions Unresolved cited work

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This paper cites K., Thirumalaraju, P., Kandula, H.et al.

Merging synthetic and real embryo data for advanced AI predictions K., Thirumalaraju, P., Kandula, H.et al

Reference 25

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This paper cites An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization.

Merging synthetic and real embryo data for advanced AI predictions An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization

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This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Merging synthetic and real embryo data for advanced AI predictions Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

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Merging synthetic and real embryo data for advanced AI predictions & Agee, J

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Merging synthetic and real embryo data for advanced AI predictions P., Sarada, V

Reference 32

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This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

Merging synthetic and real embryo data for advanced AI predictions A Style-Based Generator Architecture for Generative Adversarial Networks

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Merging synthetic and real embryo data for advanced AI predictions High-Resolution Image Synthesis with Latent Diffusion Models

Reference 34

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Merging synthetic and real embryo data for advanced AI predictions & Schwenker, F

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This paper cites 3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images.

Merging synthetic and real embryo data for advanced AI predictions 3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images

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Merging synthetic and real embryo data for advanced AI predictions & Scherer, R

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Merging synthetic and real embryo data for advanced AI predictions & Jonaitis, D

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Merging synthetic and real embryo data for advanced AI predictions & Boussommier-Calleja, A

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Merging synthetic and real embryo data for advanced AI predictions Synthetic Data from Diffusion Models Improves ImageNet Classification

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Merging synthetic and real embryo data for advanced AI predictions Training on Thin Air: Improve Image Classification with Generated Data

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Merging synthetic and real embryo data for advanced AI predictions Revised guidelines for good practice in IVF laboratories (2015)†

Reference 48

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Merging synthetic and real embryo data for advanced AI predictions & Köster, M

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Merging synthetic and real embryo data for advanced AI predictions & Park, H

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Merging synthetic and real embryo data for advanced AI predictions & Smith, G

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Merging synthetic and real embryo data for advanced AI predictions Training Generative Adversarial Networks with Limited Data

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Merging synthetic and real embryo data for advanced AI predictions & Brox, T

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Merging synthetic and real embryo data for advanced AI predictions Merging synthetic and real embryo data for advanced AI predictions

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