Paper Citation Record · LEDGER

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.02390.

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

pith.paper-citation-record.v1
2505.02390 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:58:05.780042Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5bbb9778-5baf-4105-9d73-fb0178f9957b · outbound

This paper cites Quantizing large language models for code generation: A differentiated replication.arXiv preprint arXiv:2503.07103,.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Quantizing large language models for code generation: A differentiated replication.arXiv preprint arXiv:2503.07103,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.714556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 817875ce-71b9-4c13-aa02-673a7fcacbec · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Measuring Massive Multitask Language Understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.721821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dc6e9ce-ab5e-4226-9370-90e052f1ec01 · outbound

This paper cites O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.729259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0269ec3b-d60a-4060-88d5-208ffb78bce8 · outbound

This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization CMMLU: Measuring massive multitask language understanding in Chinese

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.736682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd96bf3e-0708-43b8-9bfb-51a365d30117 · outbound

This paper cites Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.740680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a48e3be-ba1f-4652-becd-21ae3e52a2fd · outbound

This paper cites DeepSeek-V3 Technical Report.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization DeepSeek-V3 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.744864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c9298d-af3a-45b3-a698-afa6518934fa · outbound

This paper cites Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.748773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0285cd2d-f9bc-4950-b769-19b5c6246a3b · outbound

This paper cites LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.752504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43177fc-723d-433d-ac4f-cf70e4076a88 · outbound

This paper cites Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.757411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce4cbaa7-dad7-453b-92f3-522562202359 · outbound

This paper cites Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.761744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d3d3a5a-e09c-4cc0-b5bb-a76acac8de03 · outbound

This paper cites O1 Replication Journey: A Strategic Progress Report -- Part 1.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization O1 Replication Journey: A Strategic Progress Report -- Part 1

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.765285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b480bc40-1156-4de9-b011-5094d7e8f207 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization FitNets: Hints for Thin Deep Nets

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.769246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1b2299b-b61f-4954-9917-a43ba5954a6d · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization A Survey on Knowledge Distillation of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.776176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29400ce5-6842-4e26-bf0d-eaea1c37eb0c · outbound

This paper cites The Super Weight in Large Language Models.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization The Super Weight in Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.780042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0bddfc8-cc08-4428-8db2-e9aa81309639 · outbound

This paper cites Squat: Quant Small Language Models on the Edge.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Squat: Quant Small Language Models on the Edge

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.772644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99880d46-17b4-4628-979c-aa9520697e65 · outbound

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

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.710709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ac69644-a7d9-4c49-80fc-a99e04499971 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Distilling the Knowledge in a Neural Network

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.725610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc80b7e-481d-41c5-86ac-cefe0ecd4444 · outbound

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

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.702278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 491d907c-098e-48b1-ac26-32ef3eb75521 · outbound

This paper cites Learned Step Size Quantization.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Learned Step Size Quantization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.706580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99950d22-5eee-4fa9-b360-1945e5c81192 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.733012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 379d6965-b7e9-42e7-998a-783a449ae326 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T00:58:05.718306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.