Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.00676.
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 2026-08-04T16:40:31.216119Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T13:59:52.561773Z
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 f0ec7491-8aa0-4f1d-8f17-166cf60effcd · inbound
Towards Inclusive Toxic Content Moderation: Addressing Vulnerabilities to Adversarial Attacks in Toxicity Classifiers Tackling LLM-generated Content cites this paper.
Towards Inclusive Toxic Content Moderation: Addressing Vulnerabilities to Adversarial Attacks in Toxicity Classifiers Tackling LLM-generated Content Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:40:31.216119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43516165-4419-4f18-9dfa-2ca64a35b169 · inbound
Vulnerability of Natural Language Classifiers to Evolutionary Generated Adversarial Text cites this paper.
Vulnerability of Natural Language Classifiers to Evolutionary Generated Adversarial Text Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T13:59:52.563356Z
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.