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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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

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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=sha256:0fbc4233e8250cd15bb95563f3d7af989ab519688bc7f9fd48c0f3f0249da318

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

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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:fc56b3b8bf4ca213cbf8220338000408ad217f154e1ef332e5a072df73f5b70a

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.025986Z digest=sha256:eef5524c2423bdfc82d58dc342a7cad305d11f98f396c78e128304c81781c974

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

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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=sha256:1e3d5b4c8a28b297321c45a4d02715b0e29c9b22a22a0f521de13161da697122

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

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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=sha256:207e481f044c7dc424ba41b0a9991936fc1e62c75b321487167d268d1925afee

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

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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:e555b69707dfe8312ef952de51f1984e3b773d8909b6a946ebcde6b1589435da

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

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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=sha256:82a937d92ff99c7b134233736c60ea5a2a294f4f0613cd444b9b2e0f67a52ede

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

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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=sha256:066b80364685ee02c1d63bc44a963297767bc8412326b9a899cfd48518c7e6a0

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

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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:e4f28df2a29c77eb8d22af02b0048534ba75e945a73de71c1eb498fd3826a38a

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

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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:c8d58a108b78ac3f97cd0fde722567296a06573204f70e06923857229106cbba

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:58.486311Z digest=sha256:795a66ff6258f3265726f5f31f2e1e37143556cb6e4a753bd0707b852e7c8a8c

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

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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=sha256:19930cb79bcfcda6c7e266ae6baecc4f46df7a06e50e2bc2bfdf806596d49fbd

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

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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:f0d5bbc1c822279bcf102cffc964fc85804270ff3c59b4f683a94aa3fd223146

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

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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:b7c99e1dd7b40fa7ed2ecdc4060dff1d09814bec29b8c72f361d26c0d0d7f845

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

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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:e6660106d891e6fd64b65ac751e6556dfe48fb2587cb09d16d092a4c82c6b2b8

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.089362Z digest=sha256:34ebf29e4304b6ebfbad71aff9760aff76ad78c70964c93e1468e0c28e8d602a

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

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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=sha256:09b23becad96536a0e295c300b4599cb30218edecf5b71ed45cbd6c8fc89e0cb

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

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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:acd9513016e156c43fb44090b27c60db3485349bf7467da5e040e47abed50621

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.462286Z digest=sha256:daf966ed9d78e0fc121e378c71cd633e1e928c275bf56e877d53c862649e16b1

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.573969Z digest=sha256:ad196e28506eb6bc757f03d6d0a171ec263c33395cda60400a3fdccfa594234a

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.750131Z digest=sha256:9588643ae1670c0e187dcd0ef52b2836a693d08e545bee5df503aa2db9b3ad2b

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.865124Z digest=sha256:5461eb19f279f21fd418ddbc24628fb3d5b1bc632297cae22c83046341023d9e

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:31:59.961010Z digest=sha256:868d0f030a46012d41e82319b4a71e6d19cd1ad28f5b825c71789e942881ab89

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:32:00.023087Z digest=sha256:42e2294d71824e23bec3cd7ad906ad48c3d7335dac9e0f9dba0ec5d0c8fa7a1c

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:32:00.149744Z digest=sha256:e8816b4fa1434324f298dee1dc7eb9e6f309e5bc37a63e0835349aa69817c4e7

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

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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:f681a0813d9cb3377b7ef36a0c39ecc86ce6ac31f4ee692b373e1cefd507b96e

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

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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:fe4c7760367500b70402c7fb639a7ee5d2bf4222d90735317de4070556af4f26

Pith citing papers

No inbound Pith citation observations are available.