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Paper Citation Record · LEDGER

NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.09582.

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

pith.paper-citation-record.v1
2409.09582 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:22:20.076170Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:18:24.276451Z

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 e2dfdde9-db84-4799-a93e-7eb0186d264c · inbound

Zero-Shot End-to-End Relation Extraction in Chinese: A Comparative Study of Gemini, LLaMA and ChatGPT cites this paper.

Zero-Shot End-to-End Relation Extraction in Chinese: A Comparative Study of Gemini, LLaMA and ChatGPT NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T18:22:20.076170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:22:20.076170Z digest=sha256:1bd8e0a17fdbcda3e242870e28066cfe6c97d3bd27904658961afe379bdbd3c7

Observation 779a8f87-c494-41bf-8667-6f617afbdda4 · inbound

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems cites this paper.

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:18:24.355717Z

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.

source=pdf_text observed=2026-08-06T15:18:23.316699Z digest=sha256:0041b5d99bbcbaf8978517a540ab7b1e4b24b8facd124708c586b1875400af16