Paper Citation Record · LEDGER

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models

As of 11 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2501.12956.

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

pith.paper-citation-record.v1
2501.12956 v3

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:39:33.130911Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy4
unresolved18
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c517ffd-14d7-4958-8c9b-a7514b41cea5 · outbound

This paper cites GPT-4 Technical Report.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:32.975219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa2789a8-956f-424c-b61b-ee1253462a75 · outbound

This paper cites The Llama 3 Herd of Models.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.020391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae6a6cfe-e605-47a4-8ad3-6bef7fe0b62b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.032799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1a5d41e-b01d-4b3e-85eb-d8f6afae6bbc · outbound

This paper cites Fast matrix multiplications for lookup table-quantized llms.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Fast matrix multiplications for lookup table-quantized llms

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:39:33.885673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8bc6ef43-27ae-4835-8f6b-7ac349944999 · outbound

This paper cites Scaling Laws for Neural Language Models.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Scaling Laws for Neural Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.061039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ea6260f-dbee-4083-9a4d-6e25561ee95c · outbound

This paper cites X., Nie, J.-Y ., and Wen, J.-R.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models X., Nie, J.-Y ., and Wen, J.-R

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.070637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b6b94ea-19b0-4aca-8210-3fec4b411edd · outbound

This paper cites Llm-qat: Data-free quantization aware training for large language models.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Llm-qat: Data-free quantization aware training for large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:39:33.853814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5826ddfa-8a06-47a9-9793-ec4bda5a408b · outbound

This paper cites A., MacIntyre, R., Bies, A., Ferguson, M., Katz, K., and Schasberger, B.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models A., MacIntyre, R., Bies, A., Ferguson, M., Katz, K., and Schasberger, B

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:39:33.829834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a4025208-1a45-4d00-bec7-8d4464fd1dad · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.097499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814adf65-71dd-4d0a-b1c4-b592457988cd · outbound

This paper cites Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.103957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe1ec67c-a8aa-4c2c-99f5-bdbbcfd8c571 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.109217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e18376b8-e0dd-4e98-8c91-0559c3b0abc2 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.121158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42c6e2f1-8283-46da-8389-668bb169e234 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models OPT: Open Pre-trained Transformer Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.125674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6121e131-c2a5-4321-9291-395e8aa041ae · outbound

This paper cites an unresolved cited work.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Unresolved cited work

Reference 23

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T16:39:33.292416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4d280e49-f035-4377-9229-8007e5dd0d6a · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 1925

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.026316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5befff7-2b77-46eb-9120-8a117f26f522 · outbound

This paper cites LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.091094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e3cd454-0649-4207-a733-76ab915a6aa4 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Training Verifiers to Solve Math Word Problems

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.006003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa5f5249-3049-4a86-9084-2bacfb5e58a6 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:32.993144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3debeb-5733-4a17-a01c-95f6d60c1710 · outbound

This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.011960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a79fdb1-6923-4457-901b-1c455ce25e1e · outbound

This paper cites NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.116771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f582e29a-cd3e-4074-bc11-45edd6b1c7bb · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:39:33.944337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e8e4dac9-0063-4553-a53f-0c832cb86a8c · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:32.980810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8f54638-188a-4ceb-a98f-3d4c61185778 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-10T16:39:33.051539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.