Paper Citation Record · LEDGER

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1907.11932.

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

pith.paper-citation-record.v1
1907.11932 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:06:38.878882Z

measured 0 of 1 external citation measurements

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 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 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 2026-08-08T06:32:00.761636+00:00.