Paper Citation Record · LEDGER

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.06680.

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

pith.paper-citation-record.v1
2506.06680 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:55:27.133922Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy28
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2235c47-ad20-47aa-93f8-7da68e416ad7 · outbound

This paper cites An automated blastocyst grading system using convolutional neural network and transfer learning.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment An automated blastocyst grading system using convolutional neural network and transfer learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.452365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd9c3205-5f41-408e-bbe0-539ebc7b774f · outbound

This paper cites Time series prediction of viable embryo and automatic grading in ivf using deep learning.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Time series prediction of viable embryo and automatic grading in ivf using deep learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.443141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d55b436-eda0-46da-a961-41d299a0b0ba · outbound

This paper cites The forgotten men: rising rates of male infertility urgently require new approaches for its prevention, diagnosis and treatment.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment The forgotten men: rising rates of male infertility urgently require new approaches for its prevention, diagnosis and treatment

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.433769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ee0cbc0-5493-4ba2-812a-60246a03041a · outbound

This paper cites A swot analysis of human-and machine learning-based embryo assessment.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment A swot analysis of human-and machine learning-based embryo assessment

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.424353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f2938bf-b010-4d05-8563-9202dde03a12 · outbound

This paper cites Is day 7 culture necessary for in vitro fertilization of cryopreserved/warmed human oocytes? Reproductive Biology and Endocrinology, 18:1–4, 2020.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Is day 7 culture necessary for in vitro fertilization of cryopreserved/warmed human oocytes? Reproductive Biology and Endocrinology, 18:1–4, 2020

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.414393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b3ebb3d-f3ee-49a8-9363-2626a50cebcb · outbound

This paper cites Inter-laboratory agreement on embryo classification and clinical decision: conventional morphological assessment vs.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Inter-laboratory agreement on embryo classification and clinical decision: conventional morphological assessment vs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.404986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d0b5289-eaeb-426a-b326-66eebf721bff · outbound

This paper cites Image processing approach for grading ivf blastocyst: A state-of-the-art review and future perspective of deep learning-based models.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Image processing approach for grading ivf blastocyst: A state-of-the-art review and future perspective of deep learning-based models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.395613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation faa5a874-6185-4b72-9259-2662102977ab · outbound

This paper cites Embryo selection in ivf.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Embryo selection in ivf

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.386284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation faf1f3b2-fec7-4b55-93ff-77c4b8e12aea · outbound

This paper cites Optimising the outcome of embryo transfer.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Optimising the outcome of embryo transfer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.376850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 367e154d-cd2d-48eb-9805-efc3c0a295be · outbound

This paper cites Cleavage-stage versus blastocyst-stage embryo transfer in assisted reproductive technology.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Cleavage-stage versus blastocyst-stage embryo transfer in assisted reproductive technology

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.367253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a61f265-a2aa-4166-9320-ca8f6ba508a7 · outbound

This paper cites Computer-aided detection for pancreatic cancer diagnosis: radiological challenges and future directions.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Computer-aided detection for pancreatic cancer diagnosis: radiological challenges and future directions

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.357829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71bde149-9138-4549-a3a8-f019cf92f846 · outbound

This paper cites A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.347729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cfd3238-3218-420f-94a3-3c58acd81911 · outbound

This paper cites Explainable computer vision analysis for embryo selection on blastocyst images.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Explainable computer vision analysis for embryo selection on blastocyst images

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.337642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c56ee35-9648-4f6e-bf92-28dadf9a7d15 · outbound

This paper cites A deep learning framework design for automatic blastocyst evaluation with multifocal images.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment A deep learning framework design for automatic blastocyst evaluation with multifocal images

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.327959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b133f562-ee06-400f-9722-26b331e64035 · outbound

This paper cites Shamrat, M.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Shamrat, M

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.317509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation feedc6da-16a2-494a-b601-b0c151fb8acc · outbound

This paper cites Advances in artificial intelligence and blockchain technologies for early detection of human diseases.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Advances in artificial intelligence and blockchain technologies for early detection of human diseases

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.307427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 595c0cbc-1c35-4133-8d48-1a18f2938a87 · outbound

This paper cites Sutradhar, S.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Sutradhar, S

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.297738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f46fca3a-9297-406b-ad35-48b267734905 · outbound

This paper cites an unresolved cited work.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:55:27.288584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c9788c91-068d-4f5a-8992-7c2225f67230 · outbound

This paper cites Optimizing cnn hyperparameters for blastocyst quality assessment in small datasets.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Optimizing cnn hyperparameters for blastocyst quality assessment in small datasets

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.279592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87ea0b29-5960-4450-9f88-9d7822761d67 · outbound

This paper cites Explainable ai based maternal health risk prediction using machine learning and deep learning.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Explainable ai based maternal health risk prediction using machine learning and deep learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.268482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c50e8eb9-44b5-4183-aa60-7d3d25b33fe9 · outbound

This paper cites An automated day 3 embryo grading based on morpholog- ical characteristics using cnn with transfer learning techniques.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment An automated day 3 embryo grading based on morpholog- ical characteristics using cnn with transfer learning techniques

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.257784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a092d25b-c89a-43c1-9920-df477b10ef5c · outbound

This paper cites Assessment of human blastocyst using deep learning algorithm.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Assessment of human blastocyst using deep learning algorithm

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.246967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a678d516-f077-4112-bbd9-0d7d871edb1e · outbound

This paper cites STORK: Spatio-Temporal non-uniformity prediction for knowledge graph embedding.https://github.com/ih-lab/ STORK, 2019.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment STORK: Spatio-Temporal non-uniformity prediction for knowledge graph embedding.https://github.com/ih-lab/ STORK, 2019

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.235832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e6c22df-96e2-4c0f-b620-b6cc3afe56aa · outbound

This paper cites A comprehensive survey of image augmentation techniques for deep learning.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment A comprehensive survey of image augmentation techniques for deep learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.225645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2461ca0d-d1ad-4588-a8e0-712e1d0763f8 · outbound

This paper cites Raw waveform-based custom scalogram crnn in cardiac abnormality diagnosis.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Raw waveform-based custom scalogram crnn in cardiac abnormality diagnosis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.214164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e00b507a-710c-4fc6-bfd3-e1260e17ba85 · outbound

This paper cites Explainable ai for cnn-lstm network in pcg-based valvular heart disease diagnosis.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Explainable ai for cnn-lstm network in pcg-based valvular heart disease diagnosis

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.202863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af807271-caed-4130-a079-491b359c6338 · outbound

This paper cites Causability and explainability of artificial intelligence in medicine.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Causability and explainability of artificial intelligence in medicine

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:55:27.124004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dfcf1ad-bb69-410b-896c-b67f86098525 · outbound

This paper cites Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP , and more.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP , and more

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.186160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3dcaf0a1-eccd-4b59-b46f-e35f54e6d568 · outbound

This paper cites Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.175972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e4fd587-c50c-4762-a6fa-124f8a7b561b · outbound

This paper cites Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques.

Interpretation of Deep Learning Model in Embryo Selection for In Vitro Fertilization (IVF) Treatment Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:55:27.165282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.