Paper Citation Record · LEDGER

Improving CLIP Training with Language Rewrites

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.20088.

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

pith.paper-citation-record.v1
2305.20088 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:03.303022Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:08:12.825054Z

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 8744cf1e-4db6-419c-b1f3-ce86b9a77c92 · inbound

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions cites this paper.

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions Improving CLIP Training with Language Rewrites

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:12.828685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0697e11-d0e0-4a02-872b-e8111bb91916 · inbound

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction cites this paper.

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Improving CLIP Training with Language Rewrites

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:03.303022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f885d8ca-7074-4cd9-913c-7f22f0cab520 · inbound

Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M) cites this paper.

Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M) Improving CLIP Training with Language Rewrites

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:20.447559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee264ae8-0f3d-47e4-96bb-2c3e12725e34 · inbound

Contrastive vision-language learning with paraphrasing and negation cites this paper.

Contrastive vision-language learning with paraphrasing and negation Improving CLIP Training with Language Rewrites

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:37.868345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7e408fc-18e5-4f02-b520-14d1d29dcb93 · inbound

Xray-Visual Models: Scaling Vision models on Industry Scale Data cites this paper.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Improving CLIP Training with Language Rewrites

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T22:25:58.763379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.