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Paper Citation Record · LEDGER

Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.11056.

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

pith.paper-citation-record.v1
2104.11056 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:13:31.952923Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:57:07.549437Z

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 361980b7-ac42-4b7d-a000-3ac0943e7ce2 · inbound

A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models cites this paper.

A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T13:13:31.952923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:13:31.952923Z digest=sha256:b3f65a2416f03aaee14870a0059b2d4e9deecd18c5a82770d31fa114287e94b2

Observation ccf3afe2-ab2b-4a31-92b5-4b09c63248eb · inbound

Contrastive Order Learning: A General Framework for Ordinal Regression cites this paper.

Contrastive Order Learning: A General Framework for Ordinal Regression Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-10T12:57:07.553302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-10T12:55:50.017123Z digest=sha256:b650f749d3122bfb1633f59fac637651c0ca6878da9dc50afa3ffe1be1e5905b