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Paper Citation Record · LEDGER

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1901.08211.

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

pith.paper-citation-record.v1
1901.08211 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:55:59.307988Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:28:11.627305Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e3d0ef2c-7e8c-41fc-aedc-77afd51d81c7 · inbound

A Survey on Deep Learning of Small Sample in Biomedical Image Analysis cites this paper.

A Survey on Deep Learning of Small Sample in Biomedical Image Analysis Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

Reference 2854

Resolution
unresolved
no resolver link, observed 2026-08-14T15:55:59.307988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:55:59.307988Z digest=sha256:e4d7660b9afc17164207f41a2686a0c8dbdaa0e407992cb87dd2b4f3de2bb17a

Observation dfdc1ddc-0e43-43e5-9879-842325e0040c · inbound

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation cites this paper.

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T10:46:03.494871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:46:03.494871Z digest=sha256:9747355a5254188a2426b67e78ea3a1c9227d65ce663782cbd34289736577e9b

Observation 3d0f1af0-f956-4671-8fca-6de7b206f48d · inbound

Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI cites this paper.

Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T05:28:11.634742Z

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.

source=pdf_text observed=2026-08-14T05:28:11.557240Z digest=sha256:fec09c8fa0d58faef92815034b27988d5ec54f556974892beab16aeec4ec37c2