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Paper Citation Record · LEDGER

Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.14023.

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

pith.paper-citation-record.v1
2308.14023 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 2026-08-11T21:50:36.822810Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation be83d608-8297-4f23-9c23-3ace56ee933f · inbound

TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation cites this paper.

TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T21:50:36.822810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:50:36.822810Z digest=sha256:a2876e0a13dac8fd2a99676162290d3b2423698a3a7f667400838cf989f0538b

Observation 7c485b91-6f2b-4cfc-92af-098c8930e9af · inbound

Can Mental Imagery Improve the Thinking Capabilities of AI Systems? cites this paper.

Can Mental Imagery Improve the Thinking Capabilities of AI Systems? Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:48:46.657849Z

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=2026-08-06T16:48:44.267099Z digest=sha256:3a4eccef1390db7b18c532ed082547fa75d1531530bcdd9e14a38205d0c5267d