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Paper Citation Record · LEDGER

DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.14887.

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

pith.paper-citation-record.v1
2111.14887 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:20:55.748944Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T06:45:29.924286Z

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 0148e73f-f6ed-4618-a46d-8fadd65ca6f9 · inbound

Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation cites this paper.

Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T10:20:55.748944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:20:55.748944Z digest=sha256:b30c1eebcef2227b769a703605c86514deac28f8dc13a30f959194b02bc9dc2b

Observation 0c2f36f5-93dd-4262-b3c2-27c9672760af · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:14:26.335370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T06:09:54.742202Z digest=sha256:d295ed60c9a1ab67f381cc97ef965ee1d502119c60c6eeb572bae7d76a009e4e

Observation 74120834-9a54-4293-bd53-6b4cea0be6c1 · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Reference 260

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.926250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T06:38:06.306930Z digest=sha256:2ca58737d0259589b70de1b1fe372542b622809f8d49ad124420f1f96232030c