Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2011.10369.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.519996Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:15:44.404943Z
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 abed6cae-3374-4af0-af39-36eaeb71edb4 · 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 ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Reference 121
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:50:00.519996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5797828-fa90-4d6e-a5db-14d43dae9fc0 · 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 ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:32:12.949362Z
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.
Observation bfd9940a-1376-4c7e-a5ab-f21bb72c4f9d · inbound
ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs cites this paper.
ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:12:08.350228Z
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.
Observation fc910d12-2f81-468e-a5ae-a01dfd8992e4 · inbound
Your Agent Can Defend Itself against Backdoor Attacks cites this paper.
Your Agent Can Defend Itself against Backdoor Attacks ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:20:51.473274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09a20dcf-c8e0-4d5e-ae3f-9c18fb8d2b01 · inbound
Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution cites this paper.
Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:42:31.474159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd406e21-7223-45db-ba4d-60c56b06a04a · inbound
SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models cites this paper.
SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T23:28:40.726517Z
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.
Observation d9b1ed95-97b1-4656-987c-7e29d9b5ed99 · 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 ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:15:44.406550Z
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.
Observation 170cc7d5-db55-4035-b849-cf8fa8f07e85 · inbound
Defense Against LLM Backdoors using Critical Neuron Isolation Pruning cites this paper.
Defense Against LLM Backdoors using Critical Neuron Isolation Pruning ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:29:57.154055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.