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Paper Citation Record · LEDGER

Few-shot medical image classification with simple shape and texture text descriptors using vision-language models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.04005.

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

pith.paper-citation-record.v1
2308.04005 v1

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 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:25:10.345426Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:16:15.729268Z

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 18f3fbe3-8b87-4d28-a26f-8ac5abeffb9c · inbound

Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention Networks cites this paper.

Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention Networks Few-shot medical image classification with simple shape and texture text descriptors using vision-language models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T23:25:10.345426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:25:10.345426Z digest=sha256:cb09a5f59584ee9338afb2d5d5f7287a7f1b60d5ed32ef7cad63d14014156faf

Observation 83b9753f-25df-4ab9-a7bd-ff764f34987b · inbound

MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images cites this paper.

MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images Few-shot medical image classification with simple shape and texture text descriptors using vision-language models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T17:09:44.756522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:09:44.756522Z digest=sha256:4b9d11cd92bd4b472f51cd6a9e520ebaf5aba1a198b767a839185e25606cedf3

Observation 3181bd55-e892-498d-98c1-70301f81c30c · inbound

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning cites this paper.

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Few-shot medical image classification with simple shape and texture text descriptors using vision-language models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:10:05.837389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:10:05.367597Z digest=sha256:9ab0b39a77660d186f8253a27aeabec3193fcc1a6be53e61b824b07c503f0147