Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards a Robust Deep Neural Network in Texts: A Survey
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1902.07285.
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 2026-08-07T10:40:49.553681Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T03:20:55.565763Z
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 94407776-c898-4ffd-992f-22c739462512 · inbound
Coordinated Robustness Evaluation Framework for Vision-Language Models cites this paper.
Coordinated Robustness Evaluation Framework for Vision-Language Models Towards a Robust Deep Neural Network in Texts: A Survey
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:40:49.553681Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2093e66c-3657-447c-9528-b86842b2a263 · inbound
TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks cites this paper.
TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks Towards a Robust Deep Neural Network in Texts: A Survey
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:00.033767Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37cf5ae9-19bf-486f-8e9b-748246e41cdd · inbound
Fortifying Time Series: DTW-Certified Robust Anomaly Detection cites this paper.
Fortifying Time Series: DTW-Certified Robust Anomaly Detection Towards a Robust Deep Neural Network in Texts: A Survey
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:20:55.569847Z
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.