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Paper Citation Record · LEDGER

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.05239.

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

pith.paper-citation-record.v1
2204.05239 v1

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.351005Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:54:43.887967Z

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 da9a329c-c220-401f-b625-7c9d84a6e962 · 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 Exploring the Universal Vulnerability of Prompt-based Learning Paradigm

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-09T00:50:00.351005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.351005Z digest=sha256:77bd27d99c4d97bd50d3ac7801090fcf12158b1c29eddebf8c8ad35322c2c385

Observation a936ec5e-1466-44e7-bdd4-389695b54129 · inbound

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study cites this paper.

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study Exploring the Universal Vulnerability of Prompt-based Learning Paradigm

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:54:43.896306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:54:43.841295Z digest=sha256:7e248be5e690b5262af2aeb27df4646c3ceb9d6c954e017dc1234261384f2dac