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Paper Citation Record · LEDGER

Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1804.10343.

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

pith.paper-citation-record.v1
1804.10343 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:44.102317Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:31:04.603216Z

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 207f9e14-8507-4fd4-96e1-55ade8525b30 · inbound

Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems cites this paper.

Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:44.102317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:44.102317Z digest=sha256:e203985094d49d9c06fb4e8833099c49833371c553c4d26ac82ac6a04a17a30f

Observation 93d06cfe-6cf2-49f3-bba3-41019470b0e6 · inbound

Deep Wave Network for Modeling Multi-Scale Physical Dynamics cites this paper.

Deep Wave Network for Modeling Multi-Scale Physical Dynamics Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:43:52.004158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:33:24.661591Z digest=sha256:85c4d01051fa8fe545f29be36e9f488c23f5ca1424cad83add28ab192db27a1c