Paper Citation Record · LEDGER

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2408.12798.

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

pith.paper-citation-record.v1
2408.12798 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:56:17.320422Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:26:29.013296Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 04418d72-5551-4b88-ac7d-44c93d30cfa6 · 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 BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.075764Z

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.

Observation 67e57533-2f2c-4871-9fa0-2ecac2b42e68 · inbound

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics cites this paper.

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:32:12.973209Z

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.

Observation 58b5a81b-e7b2-4d27-920b-f3f9343622ce · inbound

Daunce: Data Attribution through Uncertainty Estimation cites this paper.

Daunce: Data Attribution through Uncertainty Estimation BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:17.320422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e095e507-a3e2-4e29-8570-d1b6a2f9c7c0 · inbound

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

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:56.195950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a403a9aa-9b42-41e3-b377-957f5d11445f · inbound

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense cites this paper.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:18.875445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99d0c563-eb4c-4a30-8c2f-656a0d540244 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 174

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:49.508689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac94bc7f-60c4-45e8-9fbf-d93227e6ab76 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 168

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:07.072647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab287774-33e5-4f7b-b50c-296f93d4ccd6 · inbound

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models cites this paper.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:42.571849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a232c11-1f9b-4ec7-adad-b637e28102f7 · inbound

SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems cites this paper.

SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:31:02.038525Z

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.

Observation 04eada25-d38e-47ed-a11a-23936c5772c2 · inbound

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

On the Privacy of LLMs: An Ablation Study BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:25:48.856377Z

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.

Observation 10ed5058-f3ef-4819-afde-805cb0407d6e · inbound

Backdooring Masked Diffusion Language Models cites this paper.

Backdooring Masked Diffusion Language Models BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:33:07.468459Z

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.

Observation 2375832c-2aef-49a3-86b2-95e0e8c2968b · inbound

Backdooring Masked Diffusion Language Models cites this paper.

Backdooring Masked Diffusion Language Models BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:04:58.206796Z

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.

Observation 0f7590e0-be90-468a-984d-0efc18d2f298 · inbound

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

RogueMerge: Robust and Unified Attacks against LLM Model Merging BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:29.014856Z

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.

Observation 716d55bc-0077-4ed5-ac2c-ebbc88aa5579 · inbound

PathMark: Protecting Intellectual Property of Mixture-of-Expert LLMs via Path Watermarks cites this paper.

PathMark: Protecting Intellectual Property of Mixture-of-Expert LLMs via Path Watermarks BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T00:40:49.755070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4946c375-ab19-4105-a6ac-baff40de3650 · inbound

Defense Against LLM Backdoors using Critical Neuron Isolation Pruning cites this paper.

Defense Against LLM Backdoors using Critical Neuron Isolation Pruning BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T11:29:55.972004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01fd38ed-a2d9-481b-a039-93c97a02448a · inbound

When Activation Oracles Learn Not to Read: Concept-Specific Blind Spots in Fine-Tuned Oracles cites this paper.

When Activation Oracles Learn Not to Read: Concept-Specific Blind Spots in Fine-Tuned Oracles BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-30T23:56:50.971987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbdde26c-c822-4154-8f48-b5dcc0516983 · inbound

Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems cites this paper.

Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T00:51:17.041232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec966fe-f6bd-4bc7-b8d4-531ed879c860 · inbound

Hollow-LLM Attack: Computationally Trivial Weights in Zero-Knowledge Verification of LLM Inference cites this paper.

Hollow-LLM Attack: Computationally Trivial Weights in Zero-Knowledge Verification of LLM Inference BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T01:31:21.807777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.