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Paper Citation Record · LEDGER

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.03323.

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

pith.paper-citation-record.v1
2303.03323 v3

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:36:27.456453Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T00:50:01.713055Z

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 c77f19a6-172c-434c-9287-e3dca119694a · inbound

Detecting Backdoor Samples in Contrastive Language Image Pretraining cites this paper.

Detecting Backdoor Samples in Contrastive Language Image Pretraining CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T15:36:27.456453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T15:36:27.456453Z digest=sha256:51e452dd9bd00cd57f6b9a5ca6f49dd656c40898468ef82c98345f501b675a0f

Observation 219d7f8a-5ca4-4346-9bf9-2186660cc034 · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

Reference 187

Resolution
verified exact
local_arxiv, observed 2026-08-09T00:50:01.718005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-09T00:50:00.809761Z digest=sha256:0127e03b8bc4409ffebfb0006d96cd8dcfd7dda668aae587d717265f31e23c2d