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Paper Citation Record · LEDGER

Pre-trained Vision-Language Models Learn Discoverable Visual Concepts

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.12652.

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

pith.paper-citation-record.v1
2404.12652 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:54:24.047080Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:31:37.347658Z

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 323b2dae-ef61-4579-b9e3-a62814839ec4 · inbound

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey cites this paper.

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Pre-trained Vision-Language Models Learn Discoverable Visual Concepts

Reference 181

Resolution
unresolved
no resolver link, observed 2026-08-11T23:54:24.047080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:54:24.047080Z digest=sha256:967f573080beee6e73fae75481cc27b81f2bdc0e3e496293abbac8a88e7cf335

Observation ee3bc514-de4f-47f6-8c92-17b4ffd9a03c · inbound

Does VLM Classification Benefit from LLM Description Semantics? cites this paper.

Does VLM Classification Benefit from LLM Description Semantics? Pre-trained Vision-Language Models Learn Discoverable Visual Concepts

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:31:37.354165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T14:31:37.300013Z digest=sha256:b9fb7cd6ebbb9dfd09e9a439b04e68fca32cd1dc53831af8e0411e902a435c5f