Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.09233.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:10:44.311602Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:31:03.978355Z
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 9554776b-1b51-4296-adf9-b7e16ac15cdc · inbound
Causal Graphical Models for Vision-Language Compositional Understanding cites this paper.
Causal Graphical Models for Vision-Language Compositional Understanding Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:10:44.311602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdaa8184-a6f5-4419-b94e-48b537c541d6 · inbound
All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding cites this paper.
All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:31:03.988982Z
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.