Pith. sign in

Paper Citation Record · LEDGER

Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.01109.

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

pith.paper-citation-record.v1
2402.01109 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.748849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:58:26.470083Z

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 1af0c4a7-abef-4c7f-8331-0f602daaae45 · 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 Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:26.472931Z

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=2026-05-23T20:58:16.237327Z digest=sha256:ac4fa766c14b8e279457c81a38364f3216caed59248f112e2652ed3cb0f4cc91

Observation 7fac87e7-2c55-4821-9945-4ebcb53114c3 · 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 Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 174

Resolution
unresolved
no resolver link, observed 2026-08-09T00:50:00.748849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.748849Z digest=sha256:e9e3bbc79b6ddb2fd4cb5f3d7f4c8359cdc39166b5521f3ba0aa4235dd2547b8

Observation 10957a03-58f7-494b-875c-b555402d289d · inbound

Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring cites this paper.

Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T21:06:55.895736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:06:55.895736Z digest=sha256:510e2b268c708fc760fc476698a01ad71332481d1a582cba8987c2374c36c6fe

Observation 033f9a1f-5695-4456-8e8d-f071d4548b03 · inbound

Confidence-calibrated covariate shift correction for few-shot classification in Vision-Language Models cites this paper.

Confidence-calibrated covariate shift correction for few-shot classification in Vision-Language Models Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T12:54:03.600113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:54:03.600113Z digest=sha256:53c40d0ecf88b50868b5fbf8dcd4f047f0f1a513003e2c2b3f8755cc94eecc68

Observation 2b67a653-2ba4-40ac-b187-9c56cd80cf82 · inbound

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning cites this paper.

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:30.014066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:30.014066Z digest=sha256:495597dd1d6f192685a550b803fde2828f50bf5fb52654dc7fe4c7b45c4af806

Observation a521e85b-7b41-4784-af85-e7f92484a749 · inbound

Pruning Strategies for Backdoor Defense in LLMs cites this paper.

Pruning Strategies for Backdoor Defense in LLMs Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T15:19:14.824759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:19:14.824759Z digest=sha256:77c3a5487256387a40b27954c2a0f6c8bf913df183d5624dff5eb7ada7834ff1

Observation 91370596-4b2b-48e6-ba81-91dddc291a36 · inbound

Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint cites this paper.

Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T23:10:21.147643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:10:21.147643Z digest=sha256:7e03f310bc1de500b8f1cbfbe57b2dc848c7a16d3a6963f3315a63d84a5538a4

Observation 10a3c887-315a-40de-a43f-b04723e1dbe2 · inbound

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security cites this paper.

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T23:09:41.483523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:09:41.483523Z digest=sha256:b5f7c1d462d5316dd74f49f3f02159e14f601f4d532d98286acf6dc849d60043