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Paper Citation Record · LEDGER

Representation Noising: A Defence Mechanism Against Harmful Finetuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.14577.

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

pith.paper-citation-record.v1
2405.14577 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:20.532920Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:59:47.035398Z

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 f4b00d41-4523-4329-ba55-459af03b4950 · 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 Representation Noising: A Defence Mechanism Against Harmful Finetuning

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:26.090038Z

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=sha256:5b1b8a0e75d05f5262aa65bbc27e7f58ff8ed8b101a5d4452112bc6f73041173

Observation 6bfb566f-c754-4fbc-86e7-f52ceb0ed5e2 · inbound

Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models cites this paper.

Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models Representation Noising: A Defence Mechanism Against Harmful Finetuning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:20.532920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:15:20.532920Z digest=sha256:68819c50b029078a53d3c52d718eacd9f88302f98030d5865b7359b5a9477f16

Observation e024dd50-b677-4397-9582-d93faf791fef · inbound

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

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning Representation Noising: A Defence Mechanism Against Harmful Finetuning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:31.656919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:31.656919Z digest=sha256:5b6eb9af665259515e92168631a994ee17e6265d2e6e79774660229852d47f9c

Observation f4a944b9-7dd5-4bb7-9f03-2070e7a327f3 · inbound

FORTRESS: Frontier Risk Evaluation for National Security and Public Safety cites this paper.

FORTRESS: Frontier Risk Evaluation for National Security and Public Safety Representation Noising: A Defence Mechanism Against Harmful Finetuning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T00:15:03.070633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:15:03.070633Z digest=sha256:2a9ee1fef7a466971458fef56ef004692a05719fc95d32c7311e64118f16733d

Observation a6b8f4de-7b43-4ce2-b7a4-f699d257bc52 · inbound

Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning cites this paper.

Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning Representation Noising: A Defence Mechanism Against Harmful Finetuning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:56:37.290144Z

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=2026-05-15T20:51:57.399260Z digest=sha256:116d14fabde31c0212777497741151f6ca8177fb564a5d28c047f6d329868935

Observation ef32365d-7848-40d2-85c3-344861074321 · inbound

Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps cites this paper.

Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps Representation Noising: A Defence Mechanism Against Harmful Finetuning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:55:48.920053Z

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=2026-05-10T19:30:06.396482Z digest=sha256:3bec92ead24db348074ed05ba14e57032451c49c1c88937e32ee33003bd03286

Observation d3769af6-9555-47b9-a9e3-0d98f9e839fd · inbound

Continual Safety Alignment via Gradient-Based Sample Selection cites this paper.

Continual Safety Alignment via Gradient-Based Sample Selection Representation Noising: A Defence Mechanism Against Harmful Finetuning

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:16:54.733024Z

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=2026-05-10T07:16:53.472918Z digest=sha256:402a1d8b8dd023c8b97ef1118b7c233e896e73fa2d332c402645069c733071df

Observation cff556fb-b075-47fc-a9bc-31fa87ab32f3 · inbound

Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies cites this paper.

Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies Representation Noising: A Defence Mechanism Against Harmful Finetuning

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:59:47.037148Z

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=2026-06-26T08:11:30.091859Z digest=sha256:263bf5b902f3ba91ac25233042170ea642bb177f9b9fb2668b6432a042ff5944

Observation 54a12f0b-55c1-45d7-a659-426c261aec60 · inbound

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

Gradient Immunity: Null-Space Resistance to Malicious Fine-Tuning Representation Noising: A Defence Mechanism Against Harmful Finetuning

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T10:46:10.792708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:46:10.792708Z digest=sha256:5bab47df80e7d5bbca707b6d9c6686dee95d51fe09b0c0632ee3d2a17475431a