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Paper Citation Record · LEDGER

Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2108.13888.

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

pith.paper-citation-record.v1
2108.13888 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:00.516819Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:35.189304Z

Reference resolution

0 of 0 outbound references displayed

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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 a0756de7-45a9-4187-abf9-b82c2e5666dd · inbound

BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation cites this paper.

BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-12T19:06:41.148112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:06:41.148112Z digest=sha256:0a328d11958845bbbae640af11f2b9f29a74a2237c3d4b5af2526a562e1135ca

Observation 3ea7470e-95fe-4159-85dc-91d73704e64d · inbound

Neutralizing Backdoors through Information Conflicts for Large Language Models cites this paper.

Neutralizing Backdoors through Information Conflicts for Large Language Models Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 23

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unresolved
no resolver link, observed 2026-08-12T11:25:31.798794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:25:31.798794Z digest=sha256:7b5253a181aedb567dba48091a848f2580bb80b6cddedc1be18b9ae9dd7ea114

Observation 245dde42-59de-4d81-a8e9-68c700364084 · inbound

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

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 48

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unresolved
no resolver link, observed 2026-08-09T00:50:00.175831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.175831Z digest=sha256:68199b280d75652b3163b1fa7db2b72ed2110800d8beaa6f441035bff22c5a89

Observation d0b03a04-adf6-49df-8ca7-d335582c9687 · inbound

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures cites this paper.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 77

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unresolved
no resolver link, observed 2026-08-16T04:28:00.516819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:28:00.516819Z digest=sha256:a3044c750dc6f5c9f7c9b7af15b41156f7076d2969686446b7d0aee2baddf07c

Observation 51d165bc-fb4d-423b-b59a-50067d482fd5 · inbound

A Survey on Privacy Risks and Protection in Large Language Models cites this paper.

A Survey on Privacy Risks and Protection in Large Language Models Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 34

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unresolved
no resolver link, observed 2026-08-16T04:07:36.332327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.332327Z digest=sha256:6f539abc05e8b36cdadac1bc2d23e2990183a5f121daeb26e7a6b762c8fe1634

Observation 36bfeaeb-b615-49ea-8bc5-d528e25a45fa · inbound

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks cites this paper.

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T04:24:19.603959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:24:19.603959Z digest=sha256:437f1c5c261c7515fd90bb3dc8d1ba5ad9ff54980fdecc381f05fc749867be95

Observation b3e4effb-cd1d-4a82-a572-6f20a9f42c94 · inbound

TrojanTO: Action-Level Backdoor Attacks against Trajectory Optimization Models cites this paper.

TrojanTO: Action-Level Backdoor Attacks against Trajectory Optimization Models Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:11:19.808744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:11:19.808744Z digest=sha256:076f7eafdf3b52320acfb7e4ccb8094049626f6bc86a18c39b615f4c23e8a86b

Observation 16f98be6-3927-4e38-86e2-ce47f1e565ff · inbound

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution cites this paper.

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T14:42:31.427248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:42:31.427248Z digest=sha256:702a923f5045da486dedf5b8f9726dd860f8da11d5da8bdf3be6268cb763f348

Observation 49054270-2e5f-447c-8195-13bd8347558f · inbound

Backdoor Attacks and Defenses in Computer Vision Domain: A Survey cites this paper.

Backdoor Attacks and Defenses in Computer Vision Domain: A Survey Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-04T22:06:30.519979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:06:30.519979Z digest=sha256:b764415349477e047a3c368b66995cf165f55ff7f909ea14028e2a3364075624

Observation 5c2a3636-176b-4641-95e8-22b3b3546612 · inbound

Unveiling the Backdoor Mechanism Hidden Behind Catastrophic Overfitting in Fast Adversarial Training cites this paper.

Unveiling the Backdoor Mechanism Hidden Behind Catastrophic Overfitting in Fast Adversarial Training Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:35.195142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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