Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gradient Multi-Normalization for Stateless and Scalable LLM Training
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.06742.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:35:40.221296Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T05:52:21.848754Z
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 b23d3601-7f59-4904-8d2e-0039c1fa3197 · inbound
Low-rank Momentum Factorization for Memory Efficient Training cites this paper.
Low-rank Momentum Factorization for Memory Efficient Training Gradient Multi-Normalization for Stateless and Scalable LLM Training
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:35:40.221296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 903bcba7-1617-42cb-b2b1-21f27dad111d · inbound
Demystifying Manifold Constraints in LLM Pre-training cites this paper.
Demystifying Manifold Constraints in LLM Pre-training Gradient Multi-Normalization for Stateless and Scalable LLM Training
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:16:08.860137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e25f7357-df6e-4089-bfd0-46d14d6b6413 · inbound
Optimistic Dual Averaging Unifies Modern Optimizers cites this paper.
Optimistic Dual Averaging Unifies Modern Optimizers Gradient Multi-Normalization for Stateless and Scalable LLM Training
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:52:21.850767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.