Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sharpness-aware Quantization for Deep Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2111.12273.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T16:22:12.623548Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:09:58.867803Z
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 5b3486f0-fa07-4c57-b19f-1422482e4385 · inbound
Nearly Lossless Adaptive Bit Switching cites this paper.
Nearly Lossless Adaptive Bit Switching Sharpness-aware Quantization for Deep Neural Networks
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:22:12.623548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c180ca09-9f15-48a2-b7ec-15c3a2e27e4e · inbound
Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs cites this paper.
Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs Sharpness-aware Quantization for Deep Neural Networks
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:04:02.956190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f253815f-cd98-4c19-96f9-76d3a609d259 · inbound
Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective cites this paper.
Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective Sharpness-aware Quantization for Deep Neural Networks
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:12:23.898592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48df9c11-bbdf-4d7b-967d-965bad4f75b4 · inbound
Zero-Shot Quantization via Weight-Space Arithmetic cites this paper.
Zero-Shot Quantization via Weight-Space Arithmetic Sharpness-aware Quantization for Deep Neural Networks
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:08:12.585147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 10c147cb-fb89-444d-824d-1442f4b35c77 · inbound
Certification of Machine Learning Models via Directional Sharpness cites this paper.
Certification of Machine Learning Models via Directional Sharpness Sharpness-aware Quantization for Deep Neural Networks
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T17:09:58.870303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 180dffd3-73a0-4105-8ae1-07afd4cbc80e · inbound
Neural Network Quantization by Learning Low-Loss Subspaces cites this paper.
Neural Network Quantization by Learning Low-Loss Subspaces Sharpness-aware Quantization for Deep Neural Networks
Reference 34
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T16:59:58.379283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.