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Paper Citation Record · LEDGER

Efficient semantic image segmentation with superpixel pooling

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1806.02705.

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

pith.paper-citation-record.v1
1806.02705 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:44:59.398113Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:47:41.660737Z

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 ae17204c-ac9e-46af-9139-bace268062d0 · inbound

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features cites this paper.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Efficient semantic image segmentation with superpixel pooling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T15:44:59.398113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:44:59.398113Z digest=sha256:28c41c9068b56a35ff1855675a3873f22e20ab3f0a8eb18d6cce6197f98938a2

Observation bcb48512-f997-4470-83b5-d72342e82208 · inbound

PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos cites this paper.

PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos Efficient semantic image segmentation with superpixel pooling

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T00:47:41.691862Z

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=2026-08-06T00:47:38.710187Z digest=sha256:176b7ba29dafc615e573faeaec32253d081c6293e0c53c8a23476c6221981121