Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Improving Adversarial Training of NLP Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2109.00544.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:10:26.200465Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T00:28:23.411114Z
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 e30d6c7b-9ffa-4adb-9292-1808aba96710 · inbound
Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks cites this paper.
Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Towards Improving Adversarial Training of NLP Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:10:26.200465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79f74199-6f23-4c0a-9917-2c8a5331cb09 · inbound
On Adversarial Robustness of Language Models in Transfer Learning cites this paper.
On Adversarial Robustness of Language Models in Transfer Learning Towards Improving Adversarial Training of NLP Models
Reference 16
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-10T23:21:41.821380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f836170-2d87-4ba3-822b-bf0a40083432 · inbound
SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.
SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Towards Improving Adversarial Training of NLP Models
Reference 134
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:46:10.490308Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e850cd37-500d-46cf-8bd6-4f854682800d · inbound
SeaAlert: Robust Severity Classification and LLM-Based Information Extraction for Noisy Maritime Distress Communications cites this paper.
SeaAlert: Robust Severity Classification and LLM-Based Information Extraction for Noisy Maritime Distress Communications Towards Improving Adversarial Training of NLP Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T00:28:23.412616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e4442878-02ba-4e5e-b645-ee873f73d6cd · inbound
Evaluation of Adversarial Robustness in Arabic Language Models cites this paper.
Evaluation of Adversarial Robustness in Arabic Language Models Towards Improving Adversarial Training of NLP Models
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:26:18.169995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.