Paper Citation Record · LEDGER

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2502.05224.

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

pith.paper-citation-record.v1
2502.05224 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:45:56.214257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:47:23.470655Z

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 c83337f1-0912-470d-84b6-9313d3743c0e · inbound

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation cites this paper.

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:56.214257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d51b139-481e-43b1-bf9d-9c91d0e3fa7d · inbound

Pruning Strategies for Backdoor Defense in LLMs cites this paper.

Pruning Strategies for Backdoor Defense in LLMs A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:14.965446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12eee93d-7aeb-4fa5-addd-3020c7601348 · inbound

AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents cites this paper.

AgentSentinel: An End-to-End and Real-Time Security Defense Framework for Computer-Use Agents A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T21:44:12.472875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfea1b3b-ab44-4949-9f0f-707cb3c8080f · inbound

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts cites this paper.

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:25:52.134980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a42b2e2-d79c-40e1-956c-0293916a241c · inbound

Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward cites this paper.

Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:10:59.762851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 583e2a0e-2db4-422f-826a-82d121958c9b · inbound

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers cites this paper.

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:31:07.703958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 779c12db-b5e6-46ae-9e52-74d19fd79998 · inbound

On the Privacy of LLMs: An Ablation Study cites this paper.

On the Privacy of LLMs: An Ablation Study A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:25:48.866703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6171557c-7e8b-4e1b-b9b5-3cda0f24f630 · inbound

Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs cites this paper.

Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:47:23.472235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation caadd94a-9aac-4ef2-8459-c658acfce8cb · inbound

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 65

Resolution: malformed identifier; arxiv_id, observed 2026-06-30T08:04:28.746072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b47a274-c1bd-43bc-9e01-d7e2b50e540e · inbound

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 63

Resolution: malformed identifier; no resolver link, observed 2026-08-04T04:39:06.950528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b16460d-6c13-4811-b94e-1d81ebeda072 · inbound

Toward a Unified Security and Privacy Framework for AI-Native 6G Networks cites this paper.

Toward a Unified Security and Privacy Framework for AI-Native 6G Networks A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-07-02T10:26:51.394825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec30df92-7a97-4f3c-9842-8833e8b5b87e · inbound

IssueTrojanBench: Benchmarking AI Coding Agents Against Malicious Issue Requests cites this paper.

IssueTrojanBench: Benchmarking AI Coding Agents Against Malicious Issue Requests A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T09:30:49.265611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2d0e15f-2955-4bfc-9f2f-6d1db8455ab8 · inbound

Hiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection cites this paper.

Hiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

Reference 105

Resolution: unresolved; no resolver link, observed 2026-07-31T23:55:34.674415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.