Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.12422.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T20:44:48.483210Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T23:50:57.107179Z
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 ebb6410c-ed18-40f4-99f7-9ef90f3ac0d7 · inbound
QuEST: Stable Training of LLMs with 1-Bit Weights and Activations cites this paper.
QuEST: Stable Training of LLMs with 1-Bit Weights and Activations Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:44:48.483210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1ab9eda-4c5c-49b5-bd38-1aaacba4c903 · inbound
FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning cites this paper.
FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:57:58.769056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1410c832-e6e5-4689-a901-ef5d4e27045d · inbound
STQuant: Spatio-Temporal Adaptive Framework for Optimizer Quantization in Large Multimodal Model Training cites this paper.
STQuant: Spatio-Temporal Adaptive Framework for Optimizer Quantization in Large Multimodal Model Training Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:50:57.109952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.