Paper Citation Record · LEDGER

Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.10288.

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

pith.paper-citation-record.v1
2406.10288 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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:11:25.501902Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:53:28.663574Z

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 f276e66b-7ded-4162-bb13-1a17365ab187 · 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 Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.070073Z

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.

Observation 79348459-627e-4d50-b6d2-df999f7401a5 · inbound

Enhancing AI Safety Through the Fusion of Low Rank Adapters cites this paper.

Enhancing AI Safety Through the Fusion of Low Rank Adapters Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:25.501902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a033fe85-b3d2-477b-b4a3-7b9377c2a16a · inbound

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning cites this paper.

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:33.756311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dbc19d3-11aa-4a23-ade0-e00d9fa9f4f0 · inbound

SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance-Diversity Data Selection cites this paper.

SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance-Diversity Data Selection Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:53:28.664985Z

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.