Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.09782.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:44:30.184926Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:37:36.371757Z
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 38462dfa-a876-485f-b85c-797432cada1d · inbound
A Survey on Efficient Inference for Large Language Models cites this paper.
A Survey on Efficient Inference for Large Language Models ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats
Reference 209
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:39:33.250144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 36f44717-6eb3-46df-80a9-6fa3c8c7ed8b · inbound
BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference cites this paper.
BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:44:30.184926Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08d8719c-c36f-46f0-b112-4e3205a59b5c · inbound
SWSC: Shared Weight for Similar Channel in LLM cites this paper.
SWSC: Shared Weight for Similar Channel in LLM ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:26:08.046838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c4815e1-f3c6-4828-9b6f-ad776c5e7580 · inbound
P3-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats cites this paper.
P3-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:20:32.183663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 30105a2f-0b8d-443a-9ba5-1bbab14c00cf · inbound
MxGLUT: A Reconfigurable LUT-Centric Broadcast Dataflow Accelerator for Mixed-Precision GEMM cites this paper.
MxGLUT: A Reconfigurable LUT-Centric Broadcast Dataflow Accelerator for Mixed-Precision GEMM ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T04:37:36.373694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.