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Paper Citation Record · LEDGER

An Empirical Study of Qwen3 Quantization

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 5 inbound Pith citation observations for arXiv:2505.02214.

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

pith.paper-citation-record.v1
2505.02214 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:02:11.898025Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:13.739983Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:44:26.585323Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d86f370f-f36c-4cac-ad87-3b1dc71b8a53 · outbound

This paper cites Qwen Technical Report.

An Empirical Study of Qwen3 Quantization Qwen Technical Report

Reference 1

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no resolver link, observed 2026-08-16T01:02:11.842228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.842228Z digest=sha256:1b2c0a88e9684386fab9f6352d8b3cc0fd7d296e98fd90e7c7392548eeb6d080

Observation d8eef92f-b841-42db-9669-0d75dd1b6ae9 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

An Empirical Study of Qwen3 Quantization In: Proceedings of the AAAI conference on artificial intelligence

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T01:02:12.138428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T01:02:11.846199Z digest=sha256:f7767c93b717d59cb7c5b061c7e0733c2a2d1e80bccde66ab52043a044702359

Observation b1a97585-d897-42c3-add1-9688acdad8cf · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

An Empirical Study of Qwen3 Quantization BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 3

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no resolver link, observed 2026-08-16T01:02:11.849384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.849384Z digest=sha256:f1daea5bee55f4332323c71445687cc7bebe9403147799cc016a4c34add3c6d0

Observation 2f987abe-9e39-450b-a55d-cef6508e9926 · outbound

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

An Empirical Study of Qwen3 Quantization Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 4

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no resolver link, observed 2026-08-16T01:02:11.852872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.852872Z digest=sha256:e1069b7d475d187adae54ff7cd04ac20ac088d23b76acd75b0e879cbff5a33fc

Observation 0a8adf08-0246-48ab-bbc0-429d3f9983c4 · outbound

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

An Empirical Study of Qwen3 Quantization GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.855867Z digest=sha256:925b357677403ba34948c55a5388345eec81ee30ffebeb4377ff3741d6864a4c

Observation d78965be-cad4-4ec3-aec6-ec43c7e9c3f6 · outbound

This paper cites arXiv preprint arXiv:2409.16694 (2024).

An Empirical Study of Qwen3 Quantization arXiv preprint arXiv:2409.16694 (2024)

Reference 6

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no resolver link, observed 2026-08-16T01:02:11.858763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.858763Z digest=sha256:7fdfc192b0efbaebae36d177af1ae976095c4a33e2cf99ab937db881a8dff219

Observation 1449ab21-e1ee-4969-94e0-3ee5aa61dc6f · outbound

This paper cites Measuring Massive Multitask Language Understanding.

An Empirical Study of Qwen3 Quantization Measuring Massive Multitask Language Understanding

Reference 7

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unresolved
no resolver link, observed 2026-08-16T01:02:11.861981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.861981Z digest=sha256:6b3c0b5a34dd80ad1e43d7bca0e5b115f2d9d5abcfa492f71b02777ae1ca1550

Observation 29fa57fc-8422-40a2-8cfd-f83d41f6c6da · outbound

This paper cites BiLLM: Pushing the Limit of Post-Training Quantization for LLMs.

An Empirical Study of Qwen3 Quantization BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Reference 8

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no resolver link, observed 2026-08-16T01:02:11.864916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.864916Z digest=sha256:ff2da7818fc27b5fb8cb0747140f9d96225fc57ae1350b72d39cb9c8be7ec4de

Observation f2b1ca35-35ff-4e77-b679-a26555f89633 · outbound

This paper cites Visual Intelligence 2(1), 36 (2024).

An Empirical Study of Qwen3 Quantization Visual Intelligence 2(1), 36 (2024)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:02:12.127108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T01:02:11.868252Z digest=sha256:2b039f911cb1aa06b876ac9dbfd43c35434281ef8323964fb42a95bc139c6004

Observation 710627f8-ec04-4335-aad4-cf5c7f43b569 · outbound

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

An Empirical Study of Qwen3 Quantization AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 10

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no resolver link, observed 2026-08-16T01:02:11.871043Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.871043Z digest=sha256:fe2b8dfd5e88b124c2ad4464fab446dd63a7dfca5ab58cda695350c872c81750

Observation 40b54602-05e4-45bc-aa82-85f74af34036 · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

An Empirical Study of Qwen3 Quantization SpinQuant: LLM quantization with learned rotations

Reference 11

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no resolver link, observed 2026-08-16T01:02:11.874045Z

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source=pdf_text observed=2026-08-16T01:02:11.874045Z digest=sha256:eaf0b0562934a217af3fe43119404e020a3d525ef5a8901307c084a8084e6836

Observation 135c702e-d55d-4a6c-b67c-5a1eefb2484f · outbound

This paper cites Pointer Sentinel Mixture Models.

An Empirical Study of Qwen3 Quantization Pointer Sentinel Mixture Models

Reference 12

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no resolver link, observed 2026-08-16T01:02:11.877007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.877007Z digest=sha256:9a6296f42a92951d98e187bb57f603c2d041ea036420cd7724b4d43e9342b525

Observation 0f9a3e6f-ca6b-49e1-bda4-72a58122176f · outbound

This paper cites The Journal of Machine Learning Research 21(1), 5485–5551 (2020).

An Empirical Study of Qwen3 Quantization The Journal of Machine Learning Research 21(1), 5485–5551 (2020)

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-16T01:02:12.115568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T01:02:11.880167Z digest=sha256:83de75a1c83b488224ffe3f025d06ca961438d0d0e61f7190ead4a4733f3c4cc

Observation 9ff3a11d-148a-47b0-8bde-51d9dc8674cc · outbound

This paper cites Communications of the ACM 64(9), 99–106 (2021).

An Empirical Study of Qwen3 Quantization Communications of the ACM 64(9), 99–106 (2021)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:02:12.103073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T01:02:11.883382Z digest=sha256:572ac7d3d60acc5aedfc901ed41b765724347ea3861d597fdd88cc77b65cde0c

Observation a8663344-b333-4b8b-9266-96f3bd82a3ef · outbound

This paper cites Advances in neural information processing systems 30 (2017).

An Empirical Study of Qwen3 Quantization Advances in neural information processing systems 30 (2017)

Reference 15

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source=pdf_text observed=2026-08-16T01:02:11.886489Z digest=sha256:35d7a2e1eff6547bcfdc8b40978dde46cd13aa7d13920f48243523e27d79b619

Observation 203b5d4b-9e0b-41bc-b0f0-a5eb95553106 · outbound

This paper cites In: International Conference on Machine Learning.

An Empirical Study of Qwen3 Quantization In: International Conference on Machine Learning

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-16T01:02:12.087549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T01:02:11.889414Z digest=sha256:79d391d624a5078cb90e1d870e696d6dba9bf358ef3c7d81f424acc6904d31a4

Observation b611a95b-0cf0-4f70-b8d3-f9575f849926 · outbound

This paper cites Qwen2.5 Technical Report.

An Empirical Study of Qwen3 Quantization Qwen2.5 Technical Report

Reference 17

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no resolver link, observed 2026-08-16T01:02:11.892153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.892153Z digest=sha256:c2c02f5c56e5892ba7d2b07a3752e10215c5c58d3a6d01e08ab8aabd604a59b2

Observation 510d9f26-c747-4f01-a473-cf07486eaad8 · outbound

This paper cites RPTQ: Reorder-based Post-training Quantization for Large Language Models.

An Empirical Study of Qwen3 Quantization RPTQ: Reorder-based Post-training Quantization for Large Language Models

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.895037Z digest=sha256:71783572efc665cd3e5ae34c997bd04319467062f294fdf28d30df6708463415

Observation 14d11b3e-d227-4784-82b5-c45f0ba8be70 · outbound

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

An Empirical Study of Qwen3 Quantization HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:11.898025Z digest=sha256:05feab654a63ab901ed8caea2a70961851ce972f5375c0696c21433e369b7d94

Pith citing papers

Observation 7c4ec6b2-23c4-4cb9-afdc-0c2bb89295d3 · inbound

From Shots to Stories: LLM-Assisted Video Editing with Unified Language Representations cites this paper.

From Shots to Stories: LLM-Assisted Video Editing with Unified Language Representations An Empirical Study of Qwen3 Quantization

Reference 48

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source=pdf_text observed=2026-08-15T20:42:13.739983Z digest=sha256:d769a8b08db1ab17fb4a200a0de0773dff5cd92bdd0d8b86b5121f9eae8aa788

Observation c09ac455-b575-4ebb-99dd-4052e946f812 · inbound

Scaling Law for Quantization-Aware Training cites this paper.

Scaling Law for Quantization-Aware Training An Empirical Study of Qwen3 Quantization

Reference 45

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no resolver link, observed 2026-08-07T15:41:09.367262Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:41:09.367262Z digest=sha256:3a089d6a2c16ee119e2d7fb414f141af4f01faf01e3f07988dfed7e885a18b69

Observation 4e03b32e-bb62-4a96-8b4f-4b971aa5d7b3 · inbound

Get Experience from Practice: LLM Agents with Record & Replay cites this paper.

Get Experience from Practice: LLM Agents with Record & Replay An Empirical Study of Qwen3 Quantization

Reference 91

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source=pdf_text observed=2026-08-07T14:44:31.192511Z digest=sha256:e7cbac1644996f8a844af14492f5ac47ea483b61f143918872ebea3aef3121b9

Observation 37e22f10-ed19-4565-a04a-6a80c8e66a8e · inbound

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models cites this paper.

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models An Empirical Study of Qwen3 Quantization

Reference 47

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verified exact
arxiv_id, observed 2026-05-21T23:44:26.587231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T23:44:01.953344Z digest=sha256:ebca9aa3916ee67f8a8277cba0ee469882df860e49549de9f78f2f576138e36e

Observation 9594ce93-1944-440d-81a2-46ba9b2552f7 · inbound

Wrong Before Right: Late Rescue and Interface Failure in Aligned Language Models cites this paper.

Wrong Before Right: Late Rescue and Interface Failure in Aligned Language Models An Empirical Study of Qwen3 Quantization

Reference 16

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no resolver link, observed 2026-07-11T15:58:40.406682Z

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source=pdf_text observed=2026-07-11T15:58:40.406682Z digest=sha256:5a250911310937b581d62858381429cd1c954c1bc4b41b4a7667762c6461f603