Pith. sign in

Paper Citation Record · LEDGER

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.20757.

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

pith.paper-citation-record.v1
2607.20757 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:32:00.358610Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e984e261-a686-4b05-bfa3-8b92d7ed95e3 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , volume=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:57.928483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:57.928483Z digest=sha256:cd136ee666030ed371a96a03ce3ffee6cf3b8ec2fb7bca5c1071ad508ad7770d

Observation b55115f6-7661-4c79-be68-f88fdde182e3 · outbound

This paper cites 2026 , eprint=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries 2026 , eprint=

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:57.986318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:57.986318Z digest=sha256:5c565b737f51308a5c81adf6049568f527b15566c78daa0ff045609262ca3d85

Observation 057a0ce3-3d5d-46ea-b901-9f76ea715b3c · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , articleno =.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Proceedings of the 40th International Conference on Machine Learning , articleno =

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.025986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.025986Z digest=sha256:187c1ef36557070ea15c993c6c77ff272c5406cbf701823330148f89dd63f5b4

Observation f9bd5972-be09-44d3-b042-0e0d0c129ac7 · outbound

This paper cites 2026 , url=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries 2026 , url=

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.089811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.089811Z digest=sha256:35d61594f3a6f9f1d0784c0224d553b7edf0e280ee490f1591291cc29068bbde

Observation e8d9ebd7-7620-48c3-a149-3ad2c56f99d4 · outbound

This paper cites ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers , url =.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers , url =

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.129614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.129614Z digest=sha256:e0f8812eaa2bc0c2621042a26523a0d08662eef0f60c856f5d5b107203b0e7be

Observation 7855fb04-635c-43a6-bfdf-1cdb1d884387 · outbound

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

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.190585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.190585Z digest=sha256:bcf8d182068ef5682448bbc46fb6c518dc12df06ddafc40cf819a0d55f4a7204

Observation ebc07a52-5203-4a6e-90e0-9ebb58fc398e · outbound

This paper cites ArXiv , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries ArXiv , year=

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.238688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.238688Z digest=sha256:27fb9732972cc88d560aa0a4371ec40b4ef6d8770d59ea1c663af6c26c50bfb7

Observation 75432916-b983-46cd-8885-78c7274f08c5 · outbound

This paper cites ArXiv , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries ArXiv , year=

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.290071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.290071Z digest=sha256:c867a64a0952f6b9237291c857bc4f0c76c6facecdd1571519ea6bd893d5b0a4

Observation 80869606-0fdc-46d0-9779-02b00cb95908 · outbound

This paper cites ArXiv , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries ArXiv , year=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.343260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.343260Z digest=sha256:63c045dc18bc64bd6e17b72c9a76f81832c3ce2b1a4fda05e8470cc8d1a079f3

Observation e997d60a-9909-46d5-9603-ee7096538af8 · outbound

This paper cites an unresolved cited work.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.406073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.406073Z digest=sha256:ae2fc7c497a36297773f309f96a97edddec5bd94d6067d090f53726f46ee3ba7

Observation 51375836-8c48-4823-9396-34e4106a4b50 · outbound

This paper cites an unresolved cited work.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.486311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.486311Z digest=sha256:e85351236857093b227633ad1aa4581bfebefd5c357b9ef8d81ccf6f7c107ade

Observation 33241aa2-0474-4b79-b69d-36a03b555fa0 · outbound

This paper cites MLSys , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries MLSys , year=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.612170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.612170Z digest=sha256:2aa7cf75fef9c2c5a49b559f9d3b992f848c2d4aa5aa347b86b84bf60950501d

Observation 7a7db1f9-a9ed-41da-95a3-23f508bb86b9 · outbound

This paper cites Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.736442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.736442Z digest=sha256:1a8ce33e4e659e58663f52b8c1c3029c5db3885ffb569b6632aa4723e01f18f3

Observation d38d5d20-f982-4e61-b132-e3993c8ca5d8 · outbound

This paper cites 2025 , eprint=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries 2025 , eprint=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.826362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.826362Z digest=sha256:dd879b0e614c47fafbc2b981b9283da866a09d174784659263349e0d0e81d191

Observation 647f6037-00f2-40f7-b9af-2b98a6253f05 · outbound

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

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:58.966419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.966419Z digest=sha256:f047e21e813ba6677204cfc5693c94541636d02a8427c0aa7b6aa7c59fcf1a38

Observation 85c882b7-0c18-4fbb-b131-b538d37b3b09 · outbound

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

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:59.089362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.089362Z digest=sha256:de2da037247b9bc5492f1bee963fba2741f65a315d9ac748ad4f2c83b3b75cb0

Observation 03e4a237-9e23-43e7-9889-1056937daa01 · outbound

This paper cites ArXiv , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries ArXiv , year=

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:59.215195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.215195Z digest=sha256:abb328904948ba6e10814941a6240bdfa823d8d8c6729f0ea0c1d7cb05f2c540

Observation fa6e929b-8efc-4078-a24d-e33b93962862 · outbound

This paper cites Neurocomputing , volume=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Neurocomputing , volume=

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:59.283841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.283841Z digest=sha256:23bb4decfb638b61b47da0d84ae638b9789c9c8056bb8e60f190619a262b47f3

Observation 0dc9ad1a-7f04-40a9-a95b-ded42598d171 · outbound

This paper cites ArXiv , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries ArXiv , year=

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:59.462286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.462286Z digest=sha256:9e7bb9d762e89b9459976b00bc894409aded608d2ca370dfa963465bf92e4441

Observation 16391610-0213-468c-b824-1809733d5301 · outbound

This paper cites ArXiv , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries ArXiv , year=

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:59.573969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.573969Z digest=sha256:503605332d5bf580647482c410dbcaccf1c9004b510a859b789e58059f3d80ea

Observation be8f11d4-ad87-4242-864f-4b710ffd64e2 · outbound

This paper cites Conference on Empirical Methods in Natural Language Processing , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Conference on Empirical Methods in Natural Language Processing , year=

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:59.750131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.750131Z digest=sha256:cc5bc5ec275b8ee0b1fe7edc13cfb8436e24160bf44f7dc1c804eabca1c01ee8

Observation 9f32c2bc-feee-4828-9510-00a671ebd2bd · outbound

This paper cites RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:59.865124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.865124Z digest=sha256:e61f25920e6bdd9024c33a95ac53ff273beccc3222b169b538a55f7ec16867f5

Observation 9a72ec44-644f-4905-b6fe-1125001dab73 · outbound

This paper cites Castro and Torsten Hoefler and Dan Alistarh , booktitle=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Castro and Torsten Hoefler and Dan Alistarh , booktitle=

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T09:31:59.961010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.961010Z digest=sha256:f881892334569a526bf43ffb286a94985feb9807f65d239b954239b10617d201

Observation 6066924d-4f4f-4a6f-9408-5f5b0646564a · outbound

This paper cites Annual Meeting of the Association for Computational Linguistics , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries Annual Meeting of the Association for Computational Linguistics , year=

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T09:32:00.023087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:32:00.023087Z digest=sha256:04652ee70c458bce8aad26c2d284c8bdd98e2024a9d9732447b1c8977d033232

Observation ec05c705-215a-42d1-b057-bddffa78a8f2 · outbound

This paper cites ArXiv , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries ArXiv , year=

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T09:32:00.149744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:32:00.149744Z digest=sha256:164d666068f4ee606b75256c757aba2eb583375cb2e5cdb717097a3fd775dfce

Observation 61f2d0d5-3c30-42dc-9c40-6dce67e57b40 · outbound

This paper cites 2020 , eprint=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries 2020 , eprint=

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T09:32:00.270254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:32:00.270254Z digest=sha256:9e0672c204a86e3498322c0da95ea764f24d246db178498acea84f6aa2034875

Observation fb4c0a78-9b5f-4dca-b2b8-811625435f1f · outbound

This paper cites ArXiv , year=.

GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries ArXiv , year=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T09:32:00.358610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:32:00.358610Z digest=sha256:3464a209f766f0e20c6cc03b6e5e55694a14faaa3af13f6d525466b4631e7af8

Pith citing papers

No inbound Pith citation observations are available.