Paper Citation Record · LEDGER

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2212.09067.

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

pith.paper-citation-record.v1
2212.09067 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:32:28.993161Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:34.076505Z

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 1aed96b9-cef9-4016-a618-5aeb0c4fe7b3 · inbound

Mitigating Data Exfiltration Attacks through Layer-Wise Learning Rate Decay Fine-Tuning cites this paper.

Mitigating Data Exfiltration Attacks through Layer-Wise Learning Rate Decay Fine-Tuning Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:28.993161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7e9da55-6788-482d-be3a-74994240f9b3 · inbound

Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning cites this paper.

Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:26:40.354372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cb9e7e97-e4f6-4f82-b44a-b46afd8af3aa · inbound

Where Do Backdoors Live? A Component-Level Analysis of Backdoor Propagation in Speech Language Models cites this paper.

Where Do Backdoors Live? A Component-Level Analysis of Backdoor Propagation in Speech Language Models Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T13:15:23.469878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 266d4fd1-290d-46af-91cd-8db762cfdfbe · inbound

Follow My Eyes: Backdoor Attacks on Goal-Directed Scanpath Prediction cites this paper.

Follow My Eyes: Backdoor Attacks on Goal-Directed Scanpath Prediction Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:45:58.560855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0f9ed9b7-b36d-4a69-8ead-af14a79e3627 · inbound

Follow My Eyes: Backdoor Attacks on Goal-Directed Scanpath Prediction cites this paper.

Follow My Eyes: Backdoor Attacks on Goal-Directed Scanpath Prediction Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T23:44:14.956966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71e2dcb6-b43c-4f5b-9adc-f0b984e332e0 · 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 Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:55:48.914667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 15f7e9a2-90e0-4e56-be03-3ff7509e8a3d · inbound

RogueMerge: Robust and Unified Attacks against LLM Model Merging cites this paper.

RogueMerge: Robust and Unified Attacks against LLM Model Merging Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:28.992228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 14195ea1-688f-43ae-826b-3ea22f0c71ce · inbound

Quantization as a Malicious Task: Removing Quantization-Conditioned Backdoors via Task Arithmetic cites this paper.

Quantization as a Malicious Task: Removing Quantization-Conditioned Backdoors via Task Arithmetic Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T04:09:34.078995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.