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Paper Citation Record · LEDGER

Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.14968.

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

pith.paper-citation-record.v1
2402.14968 v3

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:59:56.867587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:58:26.356968Z

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 bee83ff3-2209-43db-977e-908750aa1f22 · inbound

Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:20:44.854675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:20:44.368219Z digest=sha256:98b2fa25088707c850dbaa08a14bc895fcd7cbe9276ad0953ff7bdb05a814bf5

Observation 4a5adaac-d38b-41c5-8cec-76ee3c8bba3f · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

Reference 157

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:26.360026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:29a5aa5b3fe6fbbad77b8f8735c9be63e8c0627ccd0f0ee8374aac76f27a3268

Observation 9220a8f9-c9e5-46fc-8905-9519f83138e7 · inbound

LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning cites this paper.

LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:56.867587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:56.867587Z digest=sha256:b02215f468c6731e5ff9476a8539224bdb71f64b2f16549a5270e29969e9cca0

Observation fcd0cd75-7cfe-43d2-a17c-c184cc4acc98 · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

Reference 184

Resolution
unresolved
no resolver link, observed 2026-08-04T09:25:56.274796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:25:56.274796Z digest=sha256:177d577cbc8224173643bf30b2c8e5edf1afc76fede444912f05ea660ab308d7