Pith. sign in

Paper Citation Record · LEDGER

Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.18641.

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

pith.paper-citation-record.v1
2405.18641 v5

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 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:31:54.245622Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:58:25.966061Z

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 85654cbe-00ec-44fa-9a03-eb66b17c1571 · 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 Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:25.968888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:e87ab7232465da0ce8f6668c601460d2be56b554c946c340ac992a4ef50fc456

Observation 0baa5949-e5bc-421d-a279-0cf78d957860 · inbound

JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and Circuit cites this paper.

JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and Circuit Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T19:00:23.981651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:00:23.981651Z digest=sha256:4c92dbdceb01c6d34596396b931e0f054c774e3d70adbe8269f53e8e6ef400f7

Observation fa48e4a9-710e-4e4a-86e0-508231c6e819 · inbound

PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning cites this paper.

PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-12T10:19:26.642041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:19:26.642041Z digest=sha256:20b1795d9bee4734955e676b5766592760a69c3e835b0f233c49a11178bea2f9

Observation b6c1b76a-ce66-49d3-ab6e-fa11365095f1 · inbound

Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models cites this paper.

Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.527311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.527311Z digest=sha256:9ed93a2007c628bbf3ec9fda75c6890fdfc02a556b080ac1cc1098a197460412

Observation dbf4849b-520d-4b25-9590-fac183c3c6eb · inbound

NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning cites this paper.

NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T14:06:48.130126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:06:48.130126Z digest=sha256:fdb33d47b26a9ad841d354d064ab2c7ff71b423e23f75170aeb74d3e34f84cad

Observation 68912f69-44e1-4a26-9e9d-4eccb783f9cf · inbound

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

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:29.862212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:29.862212Z digest=sha256:31e9d79eaa60301999c5fe1d6f4ad64bf9bee949b2b50f5a207bd5047ad9f0b3

Observation 063de14a-4157-459d-a77f-8da00a96417b · inbound

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models cites this paper.

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T19:31:54.245622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:31:54.245622Z digest=sha256:4927163eda632fc920cd489355f6ba099b678cef0f35cb3f89ca0150926d23e0