Paper Citation Record · LEDGER

Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.175831Z

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

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 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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.

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 2026-08-09T06:31:02.800959+00:00.