Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scalify: scale propagation for efficient low-precision LLM training
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.17353.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-18T10:01:56.131253Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T10:02:31.675438Z
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 84ef2b0d-6d00-4360-8707-47ea35c43375 · inbound
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention cites this paper.
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention Scalify: scale propagation for efficient low-precision LLM training
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:02:31.677451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d9292303-2a7c-4659-afeb-e631cb0292ac · inbound
StoSignSGD: Unbiased Structural Stochasticity Fixes SignSGD for Training Large Language Models cites this paper.
StoSignSGD: Unbiased Structural Stochasticity Fixes SignSGD for Training Large Language Models Scalify: scale propagation for efficient low-precision LLM training
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:15:22.298309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.