Paper Citation Record · LEDGER

CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.03599.

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

pith.paper-citation-record.v1
2412.03599 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:27:12.986217Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T18:33:31.732215Z

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 ad86fda2-f46b-4438-91ff-956b112d00b1 · inbound

Exploring Dynamic Load Balancing Algorithms for Block-Structured Mesh-and-Particle Simulations in AMReX cites this paper.

Exploring Dynamic Load Balancing Algorithms for Block-Structured Mesh-and-Particle Simulations in AMReX CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:27:12.986217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7c5bca1-feab-4869-92d3-58ad5765094d · inbound

FedNAMs: Performing Interpretability Analysis in Federated Learning Context cites this paper.

FedNAMs: Performing Interpretability Analysis in Federated Learning Context CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:38.796216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9fe402-86a9-4066-976f-cbeb2a27021f · inbound

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web cites this paper.

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:33:31.831668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3ac4a52-b326-47de-89f6-3bca642a12ad · inbound

Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators cites this paper.

Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T17:41:08.458807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.