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Paper Citation Record · LEDGER

Lisa: Lazy Safety 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 2 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 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:29.862212Z

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

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:6348c5f4794ce4fba42d4ae8fa3d3aa9a18096565a39bdf3b55a40645b280e5f

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=sha256:843b4e3147658c66f47019ae5ee7496ba9cc7aeea0dea0f3089b04d8bbafb58e