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Paper Citation Record · LEDGER

Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.13040.

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

pith.paper-citation-record.v1
2310.13040 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:54:24.285498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:07.070794Z

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 83af2a3c-0dc9-43cd-b8e1-151160f1b80e · inbound

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

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts

Reference 227

Resolution
unresolved
no resolver link, observed 2026-08-11T23:54:24.285498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:54:24.285498Z digest=sha256:0f713c548fdf8643944298317c4291940cc2b11eb4f19fc5e47787ffc12d64a0

Observation 362f6d85-831a-4e85-8032-4032cd63a291 · inbound

Semantic Robustness Certification for Vision-Language Models cites this paper.

Semantic Robustness Certification for Vision-Language Models Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:59:07.073171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T21:32:54.522220Z digest=sha256:eee8003479b40638ba61e64c007a1993058ddc9df440ff8acb043a4b08e7e82f