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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:06:55.895736Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:afccc566d25be68b6e39254d20c5444412eb8c0dfc02a240a872e1aa66c06b2f

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=sha256:8a7a17b00a6a926f1552e4dc5b379b5c4bd4e913989796a6d6f77e871ba5f9ea

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=sha256:942eb9dc297bd1057e097f48f174a929d965840cf4b9e14bbf1d0b8b41baba06

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:ef63c5873f4ec943bd853f00bfea3008754d2a502cbb2d19ef3fc45b3578976a

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:be53505d99b1bfb42892283dbb9deb0662c07a48edd2fbc9a3ddb077b779f8f6

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=sha256:26096961bc53e12c745ab6c38e4abe6f76a17294ebfd10e08772911217865fc1

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:ac17d31e3fab0457b2a927c261d3e70701508b0e88387c77339e7d431c9eac13