Paper Citation Record · LEDGER

ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.11514.

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

pith.paper-citation-record.v1
2211.11514 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:48.655497Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:03:18.034947Z

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 89629919-1f19-431c-92f1-de331ef15ee2 · inbound

Navigating Distribution Shifts in Medical Image Analysis: A Survey cites this paper.

Navigating Distribution Shifts in Medical Image Analysis: A Survey ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:03:18.038761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9d775e4-2812-4ab6-9950-d5fcc0554ba7 · inbound

Parameter-Efficient Fine-Tuning for Foundation Models cites this paper.

Parameter-Efficient Fine-Tuning for Foundation Models ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation

Reference 182

Resolution: unresolved; no resolver link, observed 2026-08-10T15:38:03.413019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f886bb3-1359-4074-97e1-47f124c1f428 · inbound

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models cites this paper.

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation

Reference 252

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:48.655497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de195481-2916-4ea3-a90f-a8df481e09a1 · inbound

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation cites this paper.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:26:17.743589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.