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Paper Citation Record · LEDGER

Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.11065.

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

pith.paper-citation-record.v1
1909.11065 v6

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:19:14.345701Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:10:59.997657Z

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 38b0d417-2112-484b-b48c-7dd195250f47 · inbound

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads cites this paper.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T13:19:14.345701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:19:14.345701Z digest=sha256:2bee70a0ff79e44e1563ae60f56bccbf718dcc3f9ac0e751ce0634bcaa2910b0

Observation 5f2a9de2-fbde-441d-85d4-3c13df969067 · inbound

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective cites this paper.

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

Reference 174

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:11:00.007227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-07T05:10:59.777087Z digest=sha256:52f315f2d3e194ec4993a1e6b1f3bb6c8b5b673b81a8a16d2323cd5331aa3219