Pith. sign in

Paper Citation Record · LEDGER

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.02781.

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

pith.paper-citation-record.v1
2403.02781 v5

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:56.703348Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:27:47.622484Z

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 aee15672-2a11-4cfb-bf94-28c14a83a634 · inbound

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching cites this paper.

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching PromptKD: Unsupervised Prompt Distillation for Vision-Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:56.703348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:56.703348Z digest=sha256:5931ac51fca7dca4fbe6e22271a26dca80941414021e2aa37538145c349fb27e

Observation 1e11ad71-9bdb-44c6-96e9-9c28f9822ee4 · inbound

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models cites this paper.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models PromptKD: Unsupervised Prompt Distillation for Vision-Language Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:27:47.628086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:27:46.885780Z digest=sha256:fa93895effc7720cd018c4912af05ce971b0edf39f887870092ed1948a93f73a