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Paper Citation Record · LEDGER

Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.06177.

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

pith.paper-citation-record.v1
2404.06177 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:13.372471Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:29:15.945755Z

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 221ce345-ee34-4a7f-94c3-ee8ef64a20a1 · inbound

Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation cites this paper.

Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:13.372471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:13.372471Z digest=sha256:5aae6660424102f1c34c661de696a70dc862e6a0797c5143d4e6ca251d618a80

Observation a6ee7b98-f729-46dc-932c-442387130434 · inbound

Co-Evidential Fusion with Information Volume for Medical Image Segmentation cites this paper.

Co-Evidential Fusion with Information Volume for Medical Image Segmentation Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T11:29:54.875407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:29:54.875407Z digest=sha256:ff2b0d93de5f896a224438726e84ee77f20be3690820411564a89f234e24d5cd

Observation 65df666d-3d21-461d-810c-31bb85110469 · inbound

Atmos-Bench: 3D Atmospheric Structures for Climate Insight cites this paper.

Atmos-Bench: 3D Atmospheric Structures for Climate Insight Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T17:24:39.217615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:24:39.217615Z digest=sha256:8b7649c71002f3f9b81ea80a8095063cdd7bb7d27091263ae28ed72428f9c14e

Observation f96c403e-3b23-4361-9822-c4047aa06170 · inbound

Complementarity-driven Representation Learning for Multi-modal Knowledge Graph Completion cites this paper.

Complementarity-driven Representation Learning for Multi-modal Knowledge Graph Completion Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T13:29:58.280327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:29:58.280327Z digest=sha256:8abe7852eab18a812ab7cc549c27af80834e12ff5ba2c11cb22d7c391b2bf7e2

Observation 9add95d0-4e7f-42c5-87ef-83f860c245ff · inbound

Adaptive Fuzzy Time Series Forecasting via Partially Asymmetric Convolution and Sub-Sliding Window Fusion cites this paper.

Adaptive Fuzzy Time Series Forecasting via Partially Asymmetric Convolution and Sub-Sliding Window Fusion Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:29:15.952866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:29:15.000644Z digest=sha256:59f057bbd764ad284413a8bd2fa3198c87a1c750164bfe82d62af0f61922ab36