Paper Citation Record · LEDGER

Training with Quantization Noise for Extreme Model Compression

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2004.07320.

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

pith.paper-citation-record.v1
2004.07320 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:55:07.653191Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T12:04:25.715325Z

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 97f93f63-7f8b-48b5-91fb-338f2a9213c7 · inbound

Linformer: Self-Attention with Linear Complexity cites this paper.

Linformer: Self-Attention with Linear Complexity Training with Quantization Noise for Extreme Model Compression

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:37:42.288471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff526104-01cb-49ef-a38b-fa953b01eb25 · inbound

Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix cites this paper.

Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix Training with Quantization Noise for Extreme Model Compression

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:04:25.718558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1c7294ce-49be-4510-8a0e-a4ccf9e17df2 · inbound

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale cites this paper.

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Training with Quantization Noise for Extreme Model Compression

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-13T13:35:36.076011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6e569c81-d7bd-4c82-be0d-350c6f7042f2 · inbound

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit cites this paper.

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit Training with Quantization Noise for Extreme Model Compression

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:23.344124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e481b8b8-95d1-49e2-94c4-40643a0cb9a8 · inbound

Resource-Efficient Language Models: Quantization for Fast and Accessible Inference cites this paper.

Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Training with Quantization Noise for Extreme Model Compression

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:55:07.653191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a7ac72a-9452-4b6b-b9f9-f946a7edfc0b · inbound

BiVM: Accurate Binarized Neural Network for Efficient Video Matting cites this paper.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Training with Quantization Noise for Extreme Model Compression

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:28.750525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78a2921-d3eb-447f-a442-5581b5785f5a · inbound

Resource-Efficient Automatic Software Vulnerability Assessment via Knowledge Distillation and Particle Swarm Optimization cites this paper.

Resource-Efficient Automatic Software Vulnerability Assessment via Knowledge Distillation and Particle Swarm Optimization Training with Quantization Noise for Extreme Model Compression

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T11:27:32.153748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3b5b5aa-83e0-49dd-a97a-0862f73751eb · inbound

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization cites this paper.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Training with Quantization Noise for Extreme Model Compression

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.613629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a941c690-1d9d-4874-a205-c40ba3671575 · inbound

SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models cites this paper.

SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models Training with Quantization Noise for Extreme Model Compression

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:05:49.240830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31be0655-4a3f-4c32-b4a3-2c7bcff80d58 · inbound

Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization cites this paper.

Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization Training with Quantization Noise for Extreme Model Compression

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T23:58:40.131335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f783469-edc3-4774-9491-bd6995b8b9e0 · inbound

Self-Pruned Key-Value Attention: Learning When to Write by Predicting Future Utility cites this paper.

Self-Pruned Key-Value Attention: Learning When to Write by Predicting Future Utility Training with Quantization Noise for Extreme Model Compression

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:39:47.981218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.