Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Berkeley View of Systems Challenges for AI
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1712.05855.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:32:58.863644Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-24T19:19:50.593491Z
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 d54c0ca4-d310-4d89-9d1c-c7741416cdcf · inbound
Fog Function: Serverless Fog Computing for Data Intensive IoT Services cites this paper.
Fog Function: Serverless Fog Computing for Data Intensive IoT Services A Berkeley View of Systems Challenges for AI
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T19:19:50.596945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 00504eaf-fb93-4d1c-b4d5-cf244961ff91 · inbound
FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks cites this paper.
FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks A Berkeley View of Systems Challenges for AI
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T19:43:23.666282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f014b281-7b92-4970-ad5b-6191c1ed7bcd · inbound
A Scalable Approach for Safe and Robust Learning via Lipschitz-Constrained Networks cites this paper.
A Scalable Approach for Safe and Robust Learning via Lipschitz-Constrained Networks A Berkeley View of Systems Challenges for AI
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:32:58.863644Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.