Paper Citation Record · LEDGER

ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.09782.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2307.09782 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:06:29.102698Z

measured 0 of 1 external citation measurements

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 2026-08-21T06:32:19.484+00:00.

Observation 1257ed6c-4a74-4e64-8cdf-be2df468301b · inbound

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation cites this paper.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.694145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 fa820c6a-a411-4935-8fc6-a89de1b0e1a7 · inbound

ROSAQ: Rotation-based Saliency-Aware Weight Quantization for Efficiently Compressing Large Language Models cites this paper.

ROSAQ: Rotation-based Saliency-Aware Weight Quantization for Efficiently Compressing Large Language Models ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:29.102698Z

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.