Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:58:46.929435Z
Paper Citation Record · LEDGER
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.07885.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact1
- verified fuzzy13
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 71da0c1f-5dcc-4126-8094-e4d553fdf2cb · outbound
This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:58:46.873527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 542796db-8ac3-49db-8de6-a6fb8fe0ebf9 · outbound
This paper cites Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.126811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e35b8316-ec7f-477c-8cc3-2d7b57750daf · outbound
This paper cites Disentangling by Factorising.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Disentangling by Factorising
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:58:46.881221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89d37d1b-4a41-4875-a14c-926ca6479965 · outbound
This paper cites Hyv¨ arinen and E.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Hyv¨ arinen and E
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.115781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation aa1a1c89-ab15-41e0-a100-26f5c1b9dc3c · outbound
This paper cites Tenenbaum and William T.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Tenenbaum and William T
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.106376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 01c22048-c94a-44b6-bec9-1ac66519ce07 · outbound
This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.096138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9c1df558-46e3-4621-9e7c-6e34c9b72db6 · outbound
This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound beta-vae: Learning basic visual concepts with a constrained variational framework
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.086978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 18be08b6-8c5f-4b45-8b75-54ddf2875c1c · outbound
This paper cites Understanding disentangling in $\beta$-VAE.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Understanding disentangling in $\beta$-VAE
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:58:46.897693Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0a3cebf-2f54-4c0f-a906-a6c7455fd8ab · outbound
This paper cites Representation learn- ing: A review and new perspectives.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Representation learn- ing: A review and new perspectives
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.077368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1710e607-583c-4c27-8ae9-d993a6be443e · outbound
This paper cites Variational lossy autoencoder.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Variational lossy autoencoder
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.067641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6deca30d-57c4-4c4d-a109-ea0d9729f24c · outbound
This paper cites Image-to- image translation for cross-domain disentanglement.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Image-to- image translation for cross-domain disentanglement
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.058128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9d235f3d-c2c6-473f-8179-dfd3c521119d · outbound
This paper cites Liu, Yen-Cheng Liu, Yu-Ying Yeh, and Yu-Chiang Frank Wang.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Liu, Yen-Cheng Liu, Yu-Ying Yeh, and Yu-Chiang Frank Wang
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.046722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f62c7d27-d1d4-4c6f-ba8e-03cd7dc575ea · outbound
This paper cites A two-step disentanglement method.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound A two-step disentanglement method
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.036881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9b038c67-0e49-413b-bed1-4c7f41c3ebd5 · outbound
This paper cites Disentangling factors of variation in deep representations using adversarial training.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Disentangling factors of variation in deep representations using adversarial training
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.026241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e3c4584d-2b3d-41c8-a14d-6f97483f6a29 · outbound
This paper cites Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.015324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 711684a4-1c85-4550-acfd-9331d9724ace · outbound
This paper cites Improving CNN Training using Disentanglement for Liver Lesion Classification in CT.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Improving CNN Training using Disentanglement for Liver Lesion Classification in CT
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T11:58:46.967083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 512c2ce6-d3d5-4b4d-a93c-dc15ae348514 · outbound
This paper cites DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:58:46.926208Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89b31509-ef9d-445c-99e6-64f25c85ea56 · outbound
This paper cites Fetal anomaly screening programme: programme handbook June 2015.
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound Fetal anomaly screening programme: programme handbook June 2015
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:58:47.004785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.