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Paper Citation Record · LEDGER

CLIP with Quality Captions: A Strong Pretraining for Vision Tasks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.08911.

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

pith.paper-citation-record.v1
2405.08911 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:16:15.728021Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T15:59:09.624289Z

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 3819070f-0637-4bdd-ad1b-d4664a7cc6b8 · inbound

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities cites this paper.

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities CLIP with Quality Captions: A Strong Pretraining for Vision Tasks

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:59:09.632031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T15:59:09.162066Z digest=sha256:dc467b816c154c272e028894eae3d5e02413cddcb7f6d8f048d917e956c21056

Observation e3929c2c-f003-455f-b096-1c14574783e1 · inbound

Advancing Vision-based Human Action Recognition: Exploring Vision-Language CLIP Model for Generalisation in Domain-Independent Tasks cites this paper.

Advancing Vision-based Human Action Recognition: Exploring Vision-Language CLIP Model for Generalisation in Domain-Independent Tasks CLIP with Quality Captions: A Strong Pretraining for Vision Tasks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T18:16:15.728021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:16:15.728021Z digest=sha256:90e3dc0aa30ec26b49706045cdf4a3508ccc8211828a7c2f6d328a73eabcf13e