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Paper Citation Record · LEDGER

Investigating the Limitation of CLIP Models: The Worst-Performing Categories

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.03324.

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

pith.paper-citation-record.v1
2310.03324 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:20:23.753526Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:33:21.306720Z

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 64595cc1-5dd0-4642-8c4d-01e33819a196 · inbound

Enhancing Performance of Explainable AI Models with Constrained Concept Refinement cites this paper.

Enhancing Performance of Explainable AI Models with Constrained Concept Refinement Investigating the Limitation of CLIP Models: The Worst-Performing Categories

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T14:27:38.501451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:27:38.501451Z digest=sha256:3f48284d74b8b6d16df61f5b10a5a77e6fd14acbd91b139cb030f5780d252d73

Observation a9f6fdcf-f484-4008-92dd-1e0f3900ead4 · inbound

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration cites this paper.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Investigating the Limitation of CLIP Models: The Worst-Performing Categories

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-15T19:20:23.753526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:23.753526Z digest=sha256:dbeffcd53901990a6beedbb042977a91766fdb89f809da13bd4da45c5596889a

Observation 37023fb0-5e32-45ba-901c-95897246a29f · inbound

The Silent Brush: Evaluating Artistic Style Leakage in AI Art Generation cites this paper.

The Silent Brush: Evaluating Artistic Style Leakage in AI Art Generation Investigating the Limitation of CLIP Models: The Worst-Performing Categories

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:33:21.308609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T14:32:21.995213Z digest=sha256:83a8e2cb3ffdc39a0271cfea7fd998b751dd40ff480d6631bdfc20437b866b8e