Pith. sign in

Paper Citation Record · LEDGER

Can Post-Training Quantization Benefit from an Additional QLoRA Integration?

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2502.10202.

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

pith.paper-citation-record.v1
2502.10202 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:03:04.952823Z

measured 31 of 31 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 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

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8fc4d71-1995-4814-9768-167912fde731 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.783956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.783956Z digest=sha256:ef45f9c88d6c863dc54946ed680d811639ff64774060bdb9c09a95281ccd4004

Observation b001be23-2ee9-46fb-ac30-a1c246e9861c · outbound

This paper cites Efficient Intent Detection with Dual Sentence Encoders.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Efficient Intent Detection with Dual Sentence Encoders

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.790602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.790602Z digest=sha256:fb49b87e1e1699f5701a9b1bd6ab37217f99c821ca26f6cf7d98b45d572377fd

Observation 478cec03-2437-43ca-a72f-99f6f06010fa · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.795949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.795949Z digest=sha256:465faeb01ad40d1c00ec5b1272abe69e0c1c49920d7ecb41c37aff63f30c664b

Observation 2a86c0fc-a129-4403-a53c-32f80bf719d7 · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:03:05.544649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:03:04.803756Z digest=sha256:bf64f31d38095cf452a187f3ba96c44f31c5b99b9259d5bd0ea9aaf7f0424e9f

Observation 4c4e017a-8a34-4ec9-aaac-6496d5935516 · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.809073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.809073Z digest=sha256:62ead8683238da298bfceccab8b41f90c11bd1fe4d5372af70ea6da63d33df6a

Observation 9ba65dab-8ce3-41ed-b955-eb89ea4691df · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:03:05.507953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:03:04.814202Z digest=sha256:7e30cfaceda9a5f9b36844aad47d611c229a603460c0a9f404e6e32d2049a0ed

Observation 08eacbdc-a5f1-45d5-ba91-a8ad3cb60419 · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.819711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.819711Z digest=sha256:e7e7fac84d89509e00e49e76057ccf6c02aff4b6d3eaae6d8a59cc703edd3801

Observation c62a6ab0-8f4f-4642-a7cb-6c6ca9356536 · outbound

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

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.824895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.824895Z digest=sha256:aab530d5ec6e5795453d157a95367a8828d1007aea07babffdcc5d893e3350fe

Observation ba15b062-6f1f-4f08-ae8b-f99cc97a44b3 · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:03:05.488851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:03:04.831444Z digest=sha256:c5e19afa6c083e5253eaf7d9117bda4cf26b4dbbfb43333331b3775a02606d97

Observation be0c3fb5-8441-4c69-9787-a111ff43e423 · outbound

This paper cites A Survey of Quantization Methods for Efficient Neural Network Inference.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? A Survey of Quantization Methods for Efficient Neural Network Inference

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.836700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.836700Z digest=sha256:cc6e2fd8d1831bfb086984bf2f0cba137c8a628e9f84c222031c255b2b5401bf

Observation 849cea46-4e56-4e4d-9d99-31babb59e85a · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Parameter-Efficient Transfer Learning for NLP

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.842154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.842154Z digest=sha256:e829254828739caeeb01102734466bef18d99913b048e8c6ad38932e3e56247b

Observation 280796a5-b564-47fc-b041-9dcdc695c225 · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:03:05.471875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:03:04.847099Z digest=sha256:dbeecee063c8c1f3ae2ed06138629a7586a10f9bed86f18010dc31cbdc8be3a1

Observation efdac8ed-8a5d-453c-8c98-e8919c548821 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:03:05.454151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:03:04.851839Z digest=sha256:5034f03999da8db08e865bcfa612a556306e7670ed36a5ad2c39392196feedb8

Observation 9692f89c-8f4a-4f9f-8842-5465d9cf0c23 · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:03:05.434395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:03:04.855994Z digest=sha256:84e4d25683ff42e1446a33b3ca55fd510cccb01ae574ec5d2e93b8fceffffaf4

Observation f259af1e-2281-4c7f-a1ac-dca7fdfa2024 · outbound

This paper cites Mistral 7B.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Mistral 7B

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.860679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.860679Z digest=sha256:a41a40cbaa05ff93718acc931f9a7e4b3e4e5ad2c23bc1d1d40942261beb0511

Observation 1ba30fcc-a5e0-469a-a5c1-42f00d72f477 · outbound

This paper cites Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.865990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.865990Z digest=sha256:e675ed0aa0ac2fdb64005e1e562f15dc34021ddd265070b2184a9ddb72a8f12c

Observation 3dfdb429-e723-4e75-a4bb-51d0e5dac7f0 · outbound

This paper cites BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.871376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.871376Z digest=sha256:70b408ec26ea1561b3b28792e38c2320d239e05094c61b047bd41ee249a37a85

Observation 52a1e0e5-d7bc-4f83-937b-316a46c593ad · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:03:05.410906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:03:04.876851Z digest=sha256:7cd301512c0288636593afbbe1b453e575b7f56bb452d3aba3dfc35eddc7f95d

Observation 59634723-225c-45b9-a7d4-632ad0ec4466 · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:03:05.390339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:03:04.882502Z digest=sha256:4a6955e48688d8e304acc2e230487a59574901aa2dba4fc439bd4cad429fbabb

Observation 5df8c8fb-2ca8-4e20-9fed-1609a0470700 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.887338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.887338Z digest=sha256:85cd5569db2f57aa36697f62f69e93ac26d509ec65c664629ef34687d968614d

Observation 84f0cab1-ee13-4463-a783-62b6ce8a871b · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:03:05.374538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:03:04.892668Z digest=sha256:b092da4e3560b89c16b67fd4db8cc29086822908c68be32430faf3d43ff5f6e6

Observation 38e9f7c6-a4ca-4f9b-80a6-3cbc5368a6c2 · outbound

This paper cites A White Paper on Neural Network Quantization.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? A White Paper on Neural Network Quantization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.899119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.899119Z digest=sha256:5bc5f169937b323aa2eb67d5e7f6748401be1654317885f71457df35517aa7c3

Observation e0e7553a-9311-4693-9a29-229204ca3ffb · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.904192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.904192Z digest=sha256:7eb23a752b6c5a1c13a69e41cbbf506a9a5244bdfa91da0cf1880dcd6d48177d

Observation cce01f86-fdb0-49bc-94a7-56f2809cb184 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.909191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.909191Z digest=sha256:1f975be45688c9a850d445a678ba00b2a3954c545e2e4ad928f2e901095fe3c2

Observation 0f56160b-4c24-4c59-86e2-2736592306c1 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.914838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.914838Z digest=sha256:33bc9f483a3dc53f1fdb0f8eae5dba1f2b06244074988a65d838a9a13bf79f76

Observation 2c5bcfe7-7558-4f49-aa0d-c3c5519629f4 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.921739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.921739Z digest=sha256:a7e4f0f201ba1b404fdf9ded6cbe041041dcb92c492adca4be3e799c58aed015

Observation 6194d3b9-a5c9-4c1f-bcb9-16d84940719b · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.927820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.927820Z digest=sha256:5528b9f530b88e65c6e772fe671df75fc68c08ae5c332608a0e7dcc9baad06d9

Observation 7d0d3486-75ed-4b5c-87a8-ff7e59931247 · outbound

This paper cites Qwen2 Technical Report.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Qwen2 Technical Report

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.935180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.935180Z digest=sha256:ffe8d98f95120213684059536c759589795fdde31d913a885a160045b8328134

Observation 09373e4b-cbaa-43b4-a5da-96b915ba79fe · outbound

This paper cites an unresolved cited work.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.940997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.940997Z digest=sha256:11cc254a2287a4fd6a9bb7b3cec7cbb86094e69c199ae8b83b396539e2f861bd

Observation 6739deae-6ac4-48f6-ae1b-fa46dcaf5382 · outbound

This paper cites online" 'onlinestring :=.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? online" 'onlinestring :=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.947234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.947234Z digest=sha256:d23fb04d29f464ce83710529cb9e53a770aec7da5e1cd953ea0e14491d3eeeca

Observation 5c42d01f-63ca-4c55-98d1-01e8a4abc59e · outbound

This paper cites write newline.

Can Post-Training Quantization Benefit from an Additional QLoRA Integration? write newline

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:04.952823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:03:04.952823Z digest=sha256:51f8aed64a127291d291c80e3baf789062542c1ed6ddbd9babb4aa26e1093bd6

Pith citing papers

No inbound Pith citation observations are available.