Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SmoothQuant+: Accurate and Efficient 4-bit Post-Training WeightQuantization for LLM
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.03788.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:06:29.061027Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T19:54:10.233147Z
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 9481735a-40fc-4f12-803b-097a98035315 · inbound
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution cites this paper.
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution SmoothQuant+: Accurate and Efficient 4-bit Post-Training WeightQuantization for LLM
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:34:42.798520Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4695c92b-8646-49b7-994a-f7f4c21c9b1a · inbound
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs cites this paper.
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs SmoothQuant+: Accurate and Efficient 4-bit Post-Training WeightQuantization for LLM
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T19:54:10.239601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7d6486af-d977-4acb-ae5f-0f1adec75a23 · 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 SmoothQuant+: Accurate and Efficient 4-bit Post-Training WeightQuantization for LLM
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:06:29.061027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.