Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.12599.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:23:40.789154Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T19:34:05.210441Z
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 166da92d-32bd-4e2a-ab06-c332f871e460 · inbound
DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing cites this paper.
DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T19:34:05.216695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 08b8659e-ee71-4647-a341-e4a01e65283c · inbound
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML cites this paper.
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:23:40.789154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.