Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ZerO Initialization: Initializing Neural Networks with only Zeros and Ones
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.12661.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:55:15.314868Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:58:15.763921Z
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 54ddbd28-fa93-40ef-a94b-65c092a6f745 · inbound
Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism cites this paper.
Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism ZerO Initialization: Initializing Neural Networks with only Zeros and Ones
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:55:15.314868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b7ecfa6-0c51-4292-877a-488c5ec1422e · inbound
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning ZerO Initialization: Initializing Neural Networks with only Zeros and Ones
Reference 119
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:19:47.544510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cc48763-0ec1-44ed-8ad6-851161c9427c · inbound
Optimal Projection-Free Adaptive SGD for Matrix Optimization cites this paper.
Optimal Projection-Free Adaptive SGD for Matrix Optimization ZerO Initialization: Initializing Neural Networks with only Zeros and Ones
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:58:15.765463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.