Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.06852.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-01T05:42:10.497856Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:15:44.407671Z
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 ddaba08f-8856-4763-90b4-45e359951436 · 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 A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
Reference 180
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:58:26.433054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 92908b84-f482-4baf-bd3d-479823319aa0 · inbound
Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation cites this paper.
Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:42:35.090883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d4c59593-2428-4189-a8e9-350587cd2a94 · inbound
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models cites this paper.
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:37:25.687974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 19220c8f-b5dc-4c40-9f04-7ffa7dae0097 · inbound
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:25:54.532819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b9f4da72-1894-4442-8aa8-efa60b306167 · inbound
On the Privacy of LLMs: An Ablation Study cites this paper.
On the Privacy of LLMs: An Ablation Study A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:25:48.860158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 67611283-6140-4380-9b7e-5ee0e0bd1b5f · inbound
CSO-LLM: Class Subspace Orthogonalization for Post-Training Backdoor Detection and Trigger Inversion in LLMs cites this paper.
CSO-LLM: Class Subspace Orthogonalization for Post-Training Backdoor Detection and Trigger Inversion in LLMs A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:15:44.408974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.