Paper Citation Record · LEDGER

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis

As of 8 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2505.14742.

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

pith.paper-citation-record.v1
2505.14742 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:42.948157Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T05:59:23.738476Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:01:13.318339Z

Reference resolution

69 of 69 outbound references displayed

verified exact3
verified fuzzy1
unresolved65
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3083a70f-a4f1-4443-a7d2-dbed91660830 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation 967aadda-c8cf-44c6-8b5c-b172bb59619b · outbound

This paper cites MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:36.462888Z

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Observation 3b7de14f-fde2-4252-81ec-cbfdc9ad8072 · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:36.537811Z

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Observation 1408aa21-7b76-44e1-b8d6-e0a446f1ff36 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 4

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 5

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Observation e3ae4cc4-8291-4d71-90ac-7ca88cdb58e1 · outbound

This paper cites an unresolved cited work.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:43:48.866405Z

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Observation 9b51a68f-c7b6-4a75-aed5-9ec0fd413bf6 · outbound

This paper cites an unresolved cited work.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:43:48.631105Z

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Observation 6ea77f9d-c074-45c8-81c7-fb5cd5402346 · outbound

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

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:36.994747Z

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Observation e64fa1bc-0016-42d3-8344-8e797838f702 · outbound

This paper cites 8-bit Optimizers via Block-wise Quantization.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis 8-bit Optimizers via Block-wise Quantization

Reference 9

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Observation a891b5fd-d468-471e-8e84-316d7c815d01 · outbound

This paper cites an unresolved cited work.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 10

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Observation 49ee7a65-04b0-4059-bf15-dc0e1de39ebe · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:37.381411Z

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Observation 3e017895-9360-46ed-bd89-8136ad020a3e · outbound

This paper cites an unresolved cited work.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 12

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Observation 4912b689-96c3-4614-8997-9d1e43fab815 · outbound

This paper cites Forman and John Zahorjan.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Forman and John Zahorjan

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:43:48.313569Z

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Observation 216df80d-d228-4c0a-aa70-b61718e0a2a6 · outbound

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

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 14

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Observation 7f2d2978-731e-419d-baf1-3a66e668d9bc · outbound

This paper cites A Stability Analysis of Fine-Tuning a Pre-Trained Model.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis A Stability Analysis of Fine-Tuning a Pre-Trained Model

Reference 15

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Observation 2cc04a87-0884-4811-96f2-ecc742e1df53 · outbound

This paper cites LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning

Reference 16

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Observation e1445f8c-60f6-4996-9808-44b6e91090c0 · outbound

This paper cites EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models

Reference 17

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Observation 5e1c29f3-f4cf-4a2a-b51f-03a2336030d4 · outbound

This paper cites Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:38.230990Z

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Observation 70c523af-0613-4261-94ee-a5c84265faa8 · outbound

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 19

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Observation d5e5388c-e82c-4379-b116-07e8877f2986 · outbound

This paper cites an unresolved cited work.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 20

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Observation fb7ac4c2-e4c3-4dc2-bce3-6cc03f0155bd · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis LoRA: Low-Rank Adaptation of Large Language Models

Reference 21

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 22

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Observation 104ec6c9-bb00-4326-bfc3-9f08a304e86c · outbound

This paper cites an unresolved cited work.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 23

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Observation bc4f09c9-5822-46b0-9149-70bbaeca5882 · outbound

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 24

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Observation 05f667b0-feba-46b9-8005-0fdef8868012 · outbound

This paper cites RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization

Reference 25

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Observation 596fc38a-f456-406d-9940-1633d05199cd · outbound

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 26

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Observation 407f1b6f-ecb9-40bd-bcdf-1605c23e7648 · outbound

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 27

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Observation ac3beb18-cd61-4952-a0f0-82c19aa2514d · outbound

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 28

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 29

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Observation 9e0fbade-19f3-43ce-af2a-6cf20f2f5333 · outbound

This paper cites Rotation Invariant Quantization for Model Compression.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Rotation Invariant Quantization for Model Compression

Reference 30

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Observation 69fba64a-bcb5-42b2-abdf-582ee627c176 · outbound

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

Reference 31

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This paper cites An Inquiry into Datacenter TCO for LLM Inference with FP8.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis An Inquiry into Datacenter TCO for LLM Inference with FP8

Reference 32

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis LongForm: Effective Instruction Tuning with Reverse Instructions

Reference 33

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis o pf, Yannic Kilcher, Dimitri von R \

Reference 34

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models

Reference 35

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis QEFT: Quantization for Efficient Fine-Tuning of LLMs

Reference 37

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Observation 570cdc27-792e-4bd8-ae31-38ca7141114f · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 39

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 40

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 41

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Reference 42

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Observation 94680016-8be3-4da9-a944-0c38dd29fe5e · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 43

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Unresolved cited work

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Observation d6c91468-ed32-41cc-b871-c9d3248a368f · outbound

This paper cites QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models

Reference 45

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This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 46

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis SpinQuant: LLM quantization with learned rotations

Reference 47

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Reference 48

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This paper cites On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines

Reference 49

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Reference 50

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 51

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Observation 63df546e-a08b-40ac-8994-0a9a878f964b · outbound

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Reference 52

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 53

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis OutlierTune: Efficient Channel-Wise Quantization for Large Language Models

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Reference 55

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 56

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Reference 57

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling

Reference 58

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Reference 59

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Reference 60

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Reference 61

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Reference 62

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Reference 63

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Reference 64

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Reference 65

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Reference 66

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Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Reference 67

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Reference 68

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Reference 69

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Pith citing papers

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