Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Combating Adversarial Misspellings with Robust Word Recognition
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1905.11268.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:39:41.306847Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:19:54.639156Z
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 3510c51e-fcad-48f5-8b09-7a0101f72399 · inbound
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Combating Adversarial Misspellings with Robust Word Recognition
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:11:00.943629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f4bf9bb6-2251-4f7f-8c11-71b92cf0e99a · inbound
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models cites this paper.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Combating Adversarial Misspellings with Robust Word Recognition
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.306847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a60e160f-3b89-429d-af3b-781d6067d412 · inbound
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages cites this paper.
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages Combating Adversarial Misspellings with Robust Word Recognition
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:40:53.189859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 435b0872-d589-4b57-b0ce-fa4d30c98bbf · inbound
On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs cites this paper.
On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs Combating Adversarial Misspellings with Robust Word Recognition
Reference 103
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:40:18.995957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3852f169-5b4d-4fe4-94d6-e9a5668228f2 · inbound
Beyond Surface Forms: A Comprehensive, Mechanism-Oriented Taxonomy of Indirect Linguistic Encoding for LLM-Based Coded Language Detection cites this paper.
Beyond Surface Forms: A Comprehensive, Mechanism-Oriented Taxonomy of Indirect Linguistic Encoding for LLM-Based Coded Language Detection Combating Adversarial Misspellings with Robust Word Recognition
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T14:19:54.642336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.