Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.05046.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T21:41:15.819302Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:05:16.481721Z
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 f576270e-b23a-4b56-9107-53a8e207d7ea · inbound
Every Software as an Agent: Blueprint and Case Study cites this paper.
Every Software as an Agent: Blueprint and Case Study PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:41:15.819302Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48a1e93f-d2b2-4ec6-83ea-4fb197e65e38 · inbound
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
Reference 137
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:05:16.484552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dac78467-9469-4e40-a008-cfb4b0441de2 · inbound
CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge cites this paper.
CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
Reference 146
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:20:30.454723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.