Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.11458.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T05:04:00.410716Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T10:02:31.633000Z
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 2afeead0-f78f-4c56-b46a-2fd1adf104bb · 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 Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:02:31.635398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b21c4f28-f0d4-4f4a-8356-708f18f180e1 · inbound
HiFloat4 Format for Language Model Pre-training on Ascend NPUs cites this paper.
HiFloat4 Format for Language Model Pre-training on Ascend NPUs Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:05:59.813944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 45068382-2ade-4d8b-b0a5-4f95c18e57bf · inbound
Pretraining large language models with MXFP4 on Native FP4 Hardware cites this paper.
Pretraining large language models with MXFP4 on Native FP4 Hardware Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:41:26.359156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dd58f1a8-55ee-483d-ab89-158c718f129b · inbound
Pretraining large language models with MXFP4 on Native FP4 Hardware cites this paper.
Pretraining large language models with MXFP4 on Native FP4 Hardware Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:19:28.700340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e20a6046-2332-4d6d-90c2-5a75fd2d929a · inbound
Pretraining large language models with MXFP4 on Native FP4 Hardware cites this paper.
Pretraining large language models with MXFP4 on Native FP4 Hardware Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:19:46.452970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1c56a2d8-8645-42e7-b3a4-ba66f9822115 · inbound
Stable FP4 Training via Transposition-Invariant Block Quantization cites this paper.
Stable FP4 Training via Transposition-Invariant Block Quantization Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T05:04:00.410716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.