Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1907.11932.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:39:10.853515Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T15:18:33.777872Z
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 7276a4f1-5e35-48a6-8f3a-5a9a3618a323 · inbound
Robustness to Modification with Shared Words in Paraphrase Identification cites this paper.
Robustness to Modification with Shared Words in Paraphrase Identification Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:52:14.033747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6c5a754-7370-4648-884e-ba0ce5eb0735 · inbound
Confidence Elicitation: A New Attack Vector for Large Language Models cites this paper.
Confidence Elicitation: A New Attack Vector for Large Language Models Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:06:38.878882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d995213e-6350-442b-842a-42a32a09be59 · inbound
The Science of Evaluating Foundation Models cites this paper.
The Science of Evaluating Foundation Models Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:35:42.707286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf78befb-c9bd-473c-9b59-c0792bf1ebb0 · inbound
aiXamine: Simplified LLM Safety and Security cites this paper.
aiXamine: Simplified LLM Safety and Security Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:39:10.853515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd97671b-e426-4214-aa34-796de78b229f · inbound
Unpacking Robustness in Inflectional Languages: Adversarial Evaluation and Mechanistic Insights cites this paper.
Unpacking Robustness in Inflectional Languages: Adversarial Evaluation and Mechanistic Insights Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:19:41.038326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1be32953-98fd-4ec6-8384-2df847e1e0a8 · inbound
What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection cites this paper.
What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:49:44.970372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4a326a3-3958-45b1-9be7-6a6db108623e · inbound
Beyond Weaponization: NLP Security for Medium and Lower-Resourced Languages in Their Own Right cites this paper.
Beyond Weaponization: NLP Security for Medium and Lower-Resourced Languages in Their Own Right Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:14:24.196331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d674b0f-c0ff-47e2-a0bd-d99167ae5fa5 · inbound
Talking Like a Phisher: LLM-Based Attacks on Voice Phishing Classifiers cites this paper.
Talking Like a Phisher: LLM-Based Attacks on Voice Phishing Classifiers Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:19:22.208109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b19a76b1-1b9b-48c9-a4dc-ae3c8c694544 · inbound
Trajectory-Level Redirection Attacks on Vision-Language-Action Models cites this paper.
Trajectory-Level Redirection Attacks on Vision-Language-Action Models Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T15:18:33.779286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.