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Paper Citation Record · LEDGER

Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.17946.

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

pith.paper-citation-record.v1
2409.17946 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.142504Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:07:33.497735Z

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 a3581b2e-3430-40ec-9317-875bcea40419 · 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 Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMs

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T00:50:00.142504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.142504Z digest=sha256:06f26c73da79c64e71cbf2f17035da8275fe7bd367c642ded862462ee65d0222

Observation e1c4318c-a6da-43d7-b404-45b452bc5b1b · inbound

Towards more transferable adversarial attack in black-box manner cites this paper.

Towards more transferable adversarial attack in black-box manner Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:08.810460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:41:08.810460Z digest=sha256:33492a44eeedc6b349c3a4c90d35fb0d3f3bf6ff83aa947bd411112ecb717aae

Observation c3ec2ea2-6057-4bb7-9d8a-54ac97c50fa0 · inbound

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMs

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-04T22:33:30.242883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:33:30.242883Z digest=sha256:f99eb195fd573191eb75ad18f244908bf68c7c8455076da702238bcea2b5fa86

Observation 1494a37a-7e77-43eb-ba23-629c40e24acb · inbound

SoK: Colluding Adversaries in Machine Learning Pipelines cites this paper.

SoK: Colluding Adversaries in Machine Learning Pipelines Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMs

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:07:33.499270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T16:10:51.471822Z digest=sha256:616beb28788a332f925d0a8725d267cd00af846c0f6d0e1e766c548044d99cd6