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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:44.970372Z

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 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.

source=arxiv_source observed=2026-08-07T14:49:44.970372Z digest=sha256:a9af450436c7788f50452a0966d886d06691f904af8e45b8c76e187041869569

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.

source=arxiv_source observed=2026-08-06T20:14:24.196331Z digest=sha256:9f9fc688d3288c7240ca8e77355d85475f9b74740c69fac2f4eb548f6ff6f9f4

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.

source=pdf_text observed=2026-08-06T15:19:22.208109Z digest=sha256:45f4ddacd714b9b626ba87d336c7b49bc1fb876d4f65c3a59e8712839322484e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T06:33:53.013076Z digest=sha256:1ee0641cda37b64c2c9f9bfc19155ef5703c5a89bdc4e0dc85eee4674cd2880c