Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.11006.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:11:53.070814Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T11:29:52.240411Z
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 89568873-a8fe-45bc-a0d5-4b08fb59e2ba · inbound
Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism cites this paper.
Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:11:53.070814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cf34b5d-c45d-40e9-bd8d-1ed64517c399 · inbound
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy cites this paper.
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:08:38.326594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c16a4f7-dab9-4e6f-b0a7-87fafe35a8ba · inbound
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges cites this paper.
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T11:29:52.244728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.