Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Ultra-Low-Latency Edge Inference for Distributed Sensing
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.13360.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:21:46.349651Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T02:35:55.911444Z
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 4bb1f4f0-76d2-4a6c-b60c-abc009356cc9 · inbound
TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading cites this paper.
TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading Ultra-Low-Latency Edge Inference for Distributed Sensing
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:35:55.919285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c99a325e-94fa-467a-a4cd-57f1566cb2b1 · inbound
Black-Box Edge AI Model Selection with Conformal Latency and Accuracy Guarantees cites this paper.
Black-Box Edge AI Model Selection with Conformal Latency and Accuracy Guarantees Ultra-Low-Latency Edge Inference for Distributed Sensing
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:21:46.349651Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a08dc60b-0623-4f82-9f19-a6eebe39971e · inbound
Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity cites this paper.
Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity Ultra-Low-Latency Edge Inference for Distributed Sensing
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:37:01.159038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.