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Paper Citation Record · LEDGER

Fine-tuning CLIP Text Encoders with Two-step Paraphrasing

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.15120.

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

pith.paper-citation-record.v1
2402.15120 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:35:36.517368Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:35:36.852596Z

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 8a232757-7822-47f6-b028-0db544a1bc10 · inbound

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes cites this paper.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Fine-tuning CLIP Text Encoders with Two-step Paraphrasing

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:35:36.858022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T15:35:36.517368Z digest=sha256:4f376d0674f0cd728396146f0c712d180f4c383926b7464c2fc0929e2ba4f602

Observation 23c81c33-2776-44a5-8864-3eb9e92e8363 · inbound

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

Contrastive vision-language learning with paraphrasing and negation Fine-tuning CLIP Text Encoders with Two-step Paraphrasing

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T21:09:38.394630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:09:38.394630Z digest=sha256:04c39a8c813f3ddc8aaae314861d922dcbf26797925a476fef2ed068683246c8