Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mixed-Precision Embeddings for Large-Scale Recommendation Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.20305.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:04:50.439569Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation ae1d083a-d426-42f9-8210-e2f1c1b9a29e · inbound
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning cites this paper.
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning Mixed-Precision Embeddings for Large-Scale Recommendation Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:59:33.865423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f9971aa-6445-425d-a790-5658c547f5ce · inbound
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics cites this paper.
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics Mixed-Precision Embeddings for Large-Scale Recommendation Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:50.439569Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b108d88-37b5-47b1-8e43-6377b619cab3 · inbound
NestPipe: Large-Scale Recommendation Training on 1,500+ Accelerators via Nested Pipelining cites this paper.
NestPipe: Large-Scale Recommendation Training on 1,500+ Accelerators via Nested Pipelining Mixed-Precision Embeddings for Large-Scale Recommendation Models
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T18:00:41.378012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.