Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2006.10518.
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 2026-08-07T15:36:05.527071Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T22:28:31.056585Z
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 b62b7fdd-2816-4dc2-88c0-f799429a1db1 · inbound
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers cites this paper.
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:18:35.232567Z
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 86a57a49-5592-4b87-8549-a44578574eb4 · inbound
Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization cites this paper.
Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T22:28:31.058987Z
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 e0c27305-2a9d-404e-a070-7be9039062a8 · inbound
Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference cites this paper.
Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:36:05.527071Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 438057e3-01be-4626-a686-f32d716e6d88 · inbound
FPTQuant: Function-Preserving Transforms for LLM Quantization cites this paper.
FPTQuant: Function-Preserving Transforms for LLM Quantization Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:43:44.490409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b7ab945-efb3-4775-a249-7c125eaf362d · inbound
MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation cites this paper.
MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:57:19.993310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebc88a0e-5d1c-4cde-864f-d7ed92938bba · inbound
SignRoundV2: Toward Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs cites this paper.
SignRoundV2: Toward Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T17:10:24.864027Z
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 cddf0d51-aea2-4801-a1d0-e2d0603ba883 · inbound
Efficient Reasoning on the Edge cites this paper.
Efficient Reasoning on the Edge Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T23:28:12.790404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3281081-9623-4741-9114-6ee054625317 · inbound
A Reconfigurable and Representation-Adaptive ISA-Based Architecture for Efficient DNN Acceleration cites this paper.
A Reconfigurable and Representation-Adaptive ISA-Based Architecture for Efficient DNN Acceleration Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T18:52:57.727698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81528dcf-60cb-4165-8c32-dc368737d6b1 · inbound
Efficient Tuning Before Low-Bit Post-Training Quantization for Stochastic Gradient Descent-optimized Models cites this paper.
Efficient Tuning Before Low-Bit Post-Training Quantization for Stochastic Gradient Descent-optimized Models Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T06:58:38.171290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.