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Paper Citation Record · LEDGER

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.02899.

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

pith.paper-citation-record.v1
2403.02899 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:15:11.208802Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0cc7e66d-a4a5-48b1-9ff4-cc27cb07680d · inbound

CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval cites this paper.

CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T10:15:11.208802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:15:11.208802Z digest=sha256:64d4a3e9079a26a5a02d1f25c486a67d1aef6fd6c52068353649107d42a1efed

Observation 32d0c623-1321-4eb6-ad21-5f2b743be165 · inbound

Rethinking the Need for Source Models: Source-Free Domain Adaptation from Scratch Guided by a Vision-Language Model cites this paper.

Rethinking the Need for Source Models: Source-Free Domain Adaptation from Scratch Guided by a Vision-Language Model Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-08T18:28:58.266431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T18:26:24.377120Z digest=sha256:445b2f1b0e6bd8d8c165415d01e17c4cabc471c2b2faf9a2d55f8d86bf84d315