Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Microsoft 2016 Conversational Speech Recognition System
As of 15 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1609.03528.
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 2026-07-15T06:30:58.975436+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-25T15:35:18.182534Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T15:35:58.829569Z
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 a7d71538-32cb-408f-b20a-94ed082529fa · inbound
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour cites this paper.
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour The Microsoft 2016 Conversational Speech Recognition System
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:20:31.390036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 7ca4be62-4e3f-49c7-a2b5-1f9feefa8d22 · inbound
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers cites this paper.
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers The Microsoft 2016 Conversational Speech Recognition System
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T15:35:58.834352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.