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Paper Citation Record · LEDGER

UOR: Universal Backdoor Attacks on Pre-trained Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.09574.

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

pith.paper-citation-record.v1
2305.09574 v2

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 2026-08-16T10:38:51.536526Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T00:50:01.226276Z

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 f776a8e4-7e49-493a-90e5-75122ef8dfb3 · inbound

Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications cites this paper.

Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications UOR: Universal Backdoor Attacks on Pre-trained Language Models

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-12T15:34:26.173834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:34:26.173834Z digest=sha256:3fe9804300cf1356f8b9124cc120d1d576c3a4ff202532ae56fd8d91f4c4c423

Observation 92553fd4-e8c8-4843-98d5-30c76333b236 · 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 UOR: Universal Backdoor Attacks on Pre-trained Language Models

Reference 233

Resolution
verified exact
local_arxiv, observed 2026-08-09T00:50:01.231059Z

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=2026-08-09T00:50:00.917608Z digest=sha256:1aa76f200d8a229cb926adce3fe16035670e1de13286de8eb9d9790491eca0cb

Observation be14b056-117c-4c2e-b5e1-150d57e4b8b9 · inbound

BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts cites this paper.

BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts UOR: Universal Backdoor Attacks on Pre-trained Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T10:38:51.536526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:38:51.536526Z digest=sha256:0afe5e96be81df630f6945dcb8949573558fd7595d4be3fa351fafaea03f4c10