Paper Citation Record · LEDGER

Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2409.01586.

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

pith.paper-citation-record.v1
2409.01586 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:29.726809Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:05:04.078784Z

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 93af6967-16e1-40b8-8330-285e22e4bfa0 · 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 Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.165122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 730e1b8c-f0d2-4475-a877-ecd165e9bca3 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 121

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T04:42:33.745007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e4699fb-d4ab-4a02-8f2d-b0fbe064a521 · inbound

Secure LLM Fine-Tuning via Safety-Aware Probing cites this paper.

Secure LLM Fine-Tuning via Safety-Aware Probing Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T13:11:35.859103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 432e1bfa-79a9-4200-a759-08918ef0de8c · inbound

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

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:29.726809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3e88d80-0562-4312-a7f4-06d60523dc35 · inbound

Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning cites this paper.

Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T20:41:50.562505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f8c58c5-b4a2-45ad-84ff-55c498bcb8cb · 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 Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T23:10:21.153674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cfb6400-5c9e-4148-bcae-beb5aafdf18e · 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 Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T23:09:41.485922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d77a97c-4df9-4c06-9fed-156425c79b0f · inbound

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints cites this paper.

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:21:01.793449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 39d3deeb-87fd-4701-ad08-215b3685191a · inbound

AlignCultura: Towards Culturally Aligned Large Language Models? cites this paper.

AlignCultura: Towards Culturally Aligned Large Language Models? Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:05.116988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe145d2a-9633-4509-bd91-3e1d021b8255 · inbound

Information Extraction of Nested Complex Structure of Quantum Cascade Lasers via Large Language Models cites this paper.

Information Extraction of Nested Complex Structure of Quantum Cascade Lasers via Large Language Models Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:41:21.968863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2dfaf6b-1bf7-4400-82bf-315d25f2f086 · inbound

One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries cites this paper.

One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:05:04.080397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 75e4eee9-a5e3-4ba6-a677-00a307f7fe34 · 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 Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:53:28.635480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0bee95b9-158f-44c2-a685-f6661945d8cc · inbound

HyperSafe: Inference-Time Safety Recovery for Fine-Tuned Language Models cites this paper.

HyperSafe: Inference-Time Safety Recovery for Fine-Tuned Language Models Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T05:21:30.132993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eaae0ff-20ab-47a9-93f8-65a8648886a3 · inbound

Emergent Misalignment Recruits a Pre-existing Persona Subspace cites this paper.

Emergent Misalignment Recruits a Pre-existing Persona Subspace Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 139

Resolution: unresolved; no resolver link, observed 2026-08-01T07:46:17.515379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9582b11-b73f-412c-8a81-e4eb05b95bef · inbound

Gradient Immunity: Null-Space Resistance to Malicious Fine-Tuning cites this paper.

Gradient Immunity: Null-Space Resistance to Malicious Fine-Tuning Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:10.851158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.